See also Transit Routing, Evaluation.

See also Transit, Bus, Electric Vehicle Issues.

*Lin, W.S.*,
*Sheu, J.W.*,

**Metro Traffic Regulation by Adaptive Optimal Control**,

*ITS(12)*, No. 4, December 2011, pp. 1064-1073.

IEEE DOI
**1112**

BibRef

*Li, L.*,
*Zhang, H.*,
*Wang, X.*,
*Lu, W.*,
*Mu, Z.*,

**Urban Transit Coordination Using an Artificial Transportation System**,

*ITS(12)*, No. 2, June 2011, pp. 374-383.

IEEE DOI
**1101**

BibRef

*Noori, K.*,
*Jenab, K.*,

**Intelligent Traction Control Model for Speed Sensor Vehicles in
Computer-Based Transit System**,

*ITS(13)*, No. 2, June 2012, pp. 680-690.

IEEE DOI
**1206**

BibRef

*Blum, J.J.*,
*Mathew, T.V.*,

**Implications of the computational complexity of transit route network
redesign for metaheuristic optimisation systems**,

*IET-ITS(6)*, No. 2, 2012, pp. 124-131.

DOI Link
**1206**

BibRef

*Zhang, F.*,
*Jin, B.*,
*Wang, Z.*,
*Liu, H.*,
*Hu, J.*,
*Zhang, L.*,

**On Geocasting over Urban Bus-Based Networks by Mining Trajectories**,

*ITS(17)*, No. 6, June 2016, pp. 1734-1747.

IEEE DOI
**1606**

Delays
BibRef

*Jung, J.[Jaeyoung]*,
*Sohn, K.[Keemin]*,

**Deep-learning architecture to forecast destinations of bus passengers
from entry-only smart-card data**,

*IET-ITS(11)*, No. 6, August 2017, pp. 334-339.

DOI Link
**1707**

BibRef

*Chen, C.[Chao]*,
*Zhang, D.[Daqing]*,
*Li, N.[Nan]*,
*Zhou, Z.H.[Zhi-Hua]*,

**B-Planner: Planning Bidirectional Night Bus Routes Using Large-Scale
Taxi GPS Traces**,

*ITS(15)*, No. 4, August 2014, pp. 1451-1465.

IEEE DOI
**1410**

Global Positioning System
BibRef

*Zhang, G.*,
*Zhang, H.*,
*Li, L.*,
*Dai, C.*,

**Agent-Based Simulation and Optimization of Urban Transit System**,

*ITS(15)*, No. 2, April 2014, pp. 589-596.

IEEE DOI
**1404**

Algorithm design and analysis
BibRef

*Wang, Y.H.[Yi-Hui]*,
*de Schutter, B.*,
*van den Boom, T.J.J.*,
*Ning, B.[Bin]*,
*Tang, T.[Tao]*,

**Efficient Bilevel Approach for Urban Rail Transit Operation With
Stop-Skipping**,

*ITS(15)*, No. 6, December 2014, pp. 2658-2670.

IEEE DOI
**1412**

integer programming
BibRef

*van der Hurk, E.*,
*Kroon, L.*,
*Maroti, G.*,
*Vervest, P.*,

**Deduction of Passengers' Route Choices From Smart Card Data**,

*ITS(16)*, No. 1, February 2015, pp. 430-440.

IEEE DOI
**1502**

Clocks
BibRef

*Lin, Y.*,
*Wan, H.*,
*Jiang, R.*,
*Wu, Z.*,
*Jia, X.*,

**Inferring the Travel Purposes of Passenger Groups for Better
Understanding of Passengers**,

*ITS(16)*, No. 1, February 2015, pp. 235-243.

IEEE DOI
**1502**

Business
BibRef

*Syrjarinne, P.*,
*Nummenmaa, J.*,
*Thanisch, P.*,
*Kerminen, R.*,
*Hakulinen, E.*,

**Analysing traffic fluency from bus data**,

*IET-ITS(9)*, No. 6, 2015, pp. 566-572.

DOI Link
**1509**

data mining
BibRef

*Hosu, A.C.*,
*Kiss, Z.I.*,
*Ivanciu, I.A.*,
*Varga, M.*,
*Polgar, Z.A.*,

**Integrated ubiquitous connectivity and centralised information
platform for intelligent public transportation systems**,

*IET-ITS(9)*, No. 6, 2015, pp. 573-581.

DOI Link
**1509**

public transport
BibRef

*Daszczuk, W.B.*,
*Choromanski, W.*,
*Mies´cicki, J.*,
*Grabski, W.*,

**Empty vehicles management as a method for reducing passenger waiting
time in Personal Rapid Transit networks**,

*IET-ITS(9)*, No. 3, 2015, pp. 231-239.

DOI Link
**1506**

demand forecasting
BibRef

*Cadarso, L.*,
*Maroti, G.*,
*Marin, A.*,

**Smooth and Controlled Recovery Planning of Disruptions in Rapid
Transit Networks**,

*ITS(16)*, No. 4, August 2015, pp. 2192-2202.

IEEE DOI
**1508**

Computational modeling
BibRef

*An, S.[Shi]*,
*Zhang, X.M.[Xin-Ming]*,
*Wang, J.[Jian]*,

**Finding Causes of Irregular Headways Integrating Data Mining and AHP**,

*IJGI(4)*, No. 4, 2015, pp. 2604.

DOI Link
**1601**

Transit system flows.
BibRef

*Nunes, A.A.*,
*Galvao Dias, T.*,
*Falcao e Cunha, J.*,

**Passenger Journey Destination Estimation From Automated Fare
Collection System Data Using Spatial Validation**,

*ITS(17)*, No. 1, January 2016, pp. 133-142.

IEEE DOI
**1601**

Accuracy
BibRef

*Pinelli, F.*,
*Nair, R.*,
*Calabrese, F.*,
*Berlingerio, M.*,
*di Lorenzo, G.*,
*Sbodio, M.L.*,

**Data-Driven Transit Network Design From Mobile Phone Trajectories**,

*ITS(17)*, No. 6, June 2016, pp. 1724-1733.

IEEE DOI
**1606**

Antennas
BibRef

*Liu, Z.*,
*Jiang, S.*,
*Zhou, P.*,
*Li, M.*,

**A Participatory Urban Traffic Monitoring System:
The Power of Bus Riders**,

*ITS(18)*, No. 10, October 2017, pp. 2851-2864.

IEEE DOI
**1710**

Global Positioning System, Mobile handsets, Monitoring, Probes,
Roads, Sensors, Urban areas, Urban traffic monitoring, bus riders,
bus systems, cellular signal, participatory, sensing
BibRef

*Zhao, J.*,
*Zhang, F.*,
*Tu, L.*,
*Xu, C.*,
*Shen, D.*,
*Tian, C.*,
*Li, X.Y.*,
*Li, Z.*,

**Estimation of Passenger Route Choice Pattern Using Smart Card Data
for Complex Metro Systems**,

*ITS(18)*, No. 4, April 2017, pp. 790-801.

IEEE DOI
**1704**

Estimation
BibRef

*Zhao, J.*,
*Qu, Q.*,
*Zhang, F.*,
*Xu, C.*,
*Liu, S.*,

**Spatio-Temporal Analysis of Passenger Travel Patterns in Massive
Smart Card Data**,

*ITS(18)*, No. 11, November 2017, pp. 3135-3146.

IEEE DOI
**1711**

Companies, Data mining, Global Positioning System, Smart cards,
Space exploration, Transportation, Urban areas,
Passenger behavior analysis, metro system, smart card data,
spatio-temporal, analysis
BibRef

*Zhou, Y.[Yang]*,
*Fang, Z.X.[Zhi-Xiang]*,
*Zhan, Q.M.[Qing-Ming]*,
*Huang, Y.P.[Ya-Ping]*,
*Fu, X.W.[Xiong-Wu]*,

**Inferring Social Functions Available in the Metro Station Area from
Passengers' Staying Activities in Smart Card Data**,

*IJGI(6)*, No. 12, 2017, pp. xx-yy.

DOI Link
**1801**

BibRef

*Ni, M.*,
*He, Q.*,
*Gao, J.*,

**Forecasting the Subway Passenger Flow Under Event Occurrences With
Social Media**,

*ITS(18)*, No. 6, June 2017, pp. 1623-1632.

IEEE DOI
**1706**

Forecasting, Predictive models, Public transportation, Tagging,
Twitter, Social media, event identification, social sensing,
subway passenger flow prediction, transit, ridership
BibRef

*Singh, P.[Parul]*,
*Oh, K.[Kyuhyup]*,
*Jung, J.Y.[Jae-Yoon]*,

**Flow Orientation Analysis for Major Activity Regions Based on Smart
Card Transit Data**,

*IJGI(6)*, No. 10, 2017, pp. xx-yy.

DOI Link
**1710**

BibRef

*Dong, X.*,
*Lin, Y.*,
*Shen, D.*,
*Li, Z.*,
*Zhu, F.*,
*Hu, B.*,
*Fan, D.*,
*Xiong, G.*,

**A Parallel Transportation Management and Control System for Bus Rapid
Transit Using the ACP Approach**,

*ITS(18)*, No. 9, September 2017, pp. 2569-2574.

IEEE DOI
**1709**

ACP approach, BRT adaptive operations,
BRT forecasting, BRT incident management, BRT monitoring,
BRT warning, Guangzhou BRT, PTMS-BRT, artificial systems,
bus rapid transit, complex system theory,
mass transit service improvement,
parallel transportation management-and-control system,
Roads, Scheduling, ACP approach,
artificial transportation system,
dynamic perception,
BibRef

*Zhu, F.*,
*Li, Z.*,
*Chen, S.*,
*Xiong, G.*,

**Parallel Transportation Management and Control System and Its
Applications in Building Smart Cities**,

*ITS(17)*, No. 6, June 2016, pp. 1576-1585.

IEEE DOI
**1606**

Artificial intelligence
BibRef

*Xiong, G.*,
*Shen, D.*,
*Dong, X.*,
*Hu, B.*,
*Fan, D.*,
*Zhu, F.*,

**Parallel Transportation Management and Control System for Subways**,

*ITS(18)*, No. 7, July 2017, pp. 1974-1979.

IEEE DOI
**1706**

Accidents, Control systems, Generators, Monitoring, Planning,
Public transportation, ACP approach, Subways,
artificial subway system, computational experiments platform,
parallel execution system, status, perception
BibRef

*Zhang, J.*,
*Shen, D.*,
*Tu, L.*,
*Zhang, F.*,
*Xu, C.*,
*Wang, Y.*,
*Tian, C.*,
*Li, X.*,
*Huang, B.*,
*Li, Z.*,

**A Real-Time Passenger Flow Estimation and Prediction Method for Urban
Bus Transit Systems**,

*ITS(18)*, No. 11, November 2017, pp. 3168-3178.

IEEE DOI
**1711**

Estimation, Forecasting, Global Positioning System,
Neural networks, Real-time systems, Smart cards, Transportation,
BibRef

*Meng, X.L.[Xue-Lei]*,
*Jia, L.M.[Li-Min]*,
*Xiang, W.L.[Wan-Li]*,

**Complex network model for railway timetable stability optimisation**,

*IET-ITS(12)*, No. 10, December 2018, pp. 1369-1377.

DOI Link
**1812**

BibRef

*Ding, X.B.[Xiao-Bing]*,
*Liu, Z.G.[Zhi-Gang]*,
*Xu, H.B.[Hai-Bo]*,

**The passenger flow status identification based on image and WiFi
detection for urban rail transit stations**,

*JVCIR(58)*, 2019, pp. 119-129.

Elsevier DOI
**1901**

Rail transit, Safety of stations,
Passenger flow identification, Emergency warning
BibRef

*Cong, J.M.[Jia-Min]*,
*Gao, L.J.[Lin-Jie]*,
*Juan, Z.C.[Zhi-Cai]*,

**Improved algorithms for trip-chain estimation using massive student
behaviour data from urban transit systems**,

*IET-ITS(13)*, No. 3, March 2019, pp. 435-442.

DOI Link
**1903**

BibRef

*Jin, H.T.[Hai-Tao]*,
*Jin, F.J.[Feng-Jun]*,
*Zhu, H.[He]*,

**Measuring Spatial Mismatch between Public Transit Services and
Regular Riders: A Case Study of Beijing**,

*IJGI(8)*, No. 4, 2019, pp. xx-yy.

DOI Link
**1905**

BibRef

*Duan, Z.Y.[Zheng-Yu]*,
*Lei, Z.X.[Zeng-Xiang]*,
*Zhang, M.[Michael]*,
*Li, H.F.[Hai-Feng]*,
*Yang, D.Y.[Dong-Yuan]*,

**Understanding multiple days' metro travel demand at aggregate level**,

*IET-ITS(13)*, No. 5, May 2019, pp. 756-763.

DOI Link
**1906**

BibRef

*Wang, W.Y.[Wei-Yang]*,
*Hu, J.[Jia]*,
*Ji, Y.X.[Yu-Xiong]*,
*Du, Y.C.[Yu-Chuan]*,

**Improving fuel efficiency of connected and automated transit buses on
signallised corridors**,

*IET-ITS(13)*, No. 5, May 2019, pp. 870-879.

DOI Link
**1906**

BibRef

*Ma, X.*,
*Zhang, J.*,
*Du, B.*,
*Ding, C.*,
*Sun, L.*,

**Parallel Architecture of Convolutional Bi-Directional LSTM Neural
Networks for Network-Wide Metro Ridership Prediction**,

*ITS(20)*, No. 6, June 2019, pp. 2278-2288.

IEEE DOI
**1906**

Feature extraction, Predictive models, Data models,
Spatiotemporal phenomena, Forecasting, Neural networks,
parallel structure
BibRef

*Hou, Z.*,
*Dong, H.*,
*Gao, S.*,
*Nicholson, G.*,
*Chen, L.*,
*Roberts, C.*,

**Energy-Saving Metro Train Timetable Rescheduling Model Considering
ATO Profiles and Dynamic Passenger Flow**,

*ITS(20)*, No. 7, July 2019, pp. 2774-2785.

IEEE DOI
**1907**

Delays, Energy consumption, Rail transportation, Software,
Numerical models, Heuristic algorithms, Linear programming,
ATO profile
BibRef

*Feng, J.*,
*Ye, Z.*,
*Wang, C.*,
*Xu, M.*,
*Labi, S.*,

**An Integrated Optimization Model for Energy Saving in Metro
Operations**,

*ITS(20)*, No. 8, August 2019, pp. 3059-3069.

IEEE DOI
**1908**

Energy consumption, Acceleration, Optimization, Kinetic energy,
Switches, Mathematical model, Genetic algorithms, Timetable, speed,
cataclysmic genetic algorithm
BibRef

*Li, W.*,
*Cao, J.*,
*Guan, J.*,
*Zhou, S.*,
*Liang, G.*,
*So, W.K.Y.*,
*Szczecinski, M.*,

**A General Framework for Unmet Demand Prediction in On-Demand
Transport Services**,

*ITS(20)*, No. 8, August 2019, pp. 2820-2830.

IEEE DOI
**1908**

Public transportation, Feature extraction, Predictive models,
Vehicles, Vehicle dynamics, Data mining,
prediction model
BibRef

*Han, Y.[Yong]*,
*Wang, S.[Shukang]*,
*Ren, Y.[Yibin]*,
*Wang, C.[Cheng]*,
*Gao, P.[Peng]*,
*Chen, G.[Ge]*,

**Predicting Station-Level Short-Term Passenger Flow in a Citywide
Metro Network Using Spatiotemporal Graph Convolutional Neural
Networks**,

*IJGI(8)*, No. 6, 2019, pp. xx-yy.

DOI Link
**1908**

BibRef

*Guo, Z.Q.A.[Zhi-Qi-Ang]*,
*Zhao, X.[Xin]*,
*Chen, Y.X.[Ya-Xin]*,
*Wu, W.[Wei]*,
*Yang, J.[Jie]*,

**Short-term passenger flow forecast of urban rail transit based on GPR
and KRR**,

*IET-ITS(13)*, No. 9, September 2019, pp. 1374-1382.

DOI Link
**1908**

BibRef

*Pang, J.*,
*Huang, J.*,
*Du, Y.*,
*Yu, H.*,
*Huang, Q.*,
*Yin, B.*,

**Learning to Predict Bus Arrival Time From Heterogeneous Measurements
via Recurrent Neural Network**,

*ITS(20)*, No. 9, September 2019, pp. 3283-3293.

IEEE DOI
**1909**

Global Positioning System, Time measurement,
Recurrent neural networks, Task analysis, Transportation,
multi-step-ahead prediction
BibRef

*Koehler, L.A.*,
*Seman, L.O.*,
*Kraus, W.*,
*Camponogara, E.*,

**Real-Time Integrated Holding and Priority Control Strategy for
Transit Systems**,

*ITS(20)*, No. 9, September 2019, pp. 3459-3469.

IEEE DOI
**1909**

Delays, Indexes, Real-time systems, Automobiles, Optimization,
Predictive models, BRT, bus bunching, bus headway control,
transit signal priority
BibRef

*Liu, H.*,
*Zhou, M.*,
*Guo, X.*,
*Zhang, Z.*,
*Ning, B.*,
*Tang, T.*,

**Timetable Optimization for Regenerative Energy Utilization in Subway
Systems**,

*ITS(20)*, No. 9, September 2019, pp. 3247-3257.

IEEE DOI
**1909**

Optimization, Public transportation, Acceleration,
Mathematical model, Resistors, Genetic algorithms,
artificial bee colony
BibRef

*Qiu, G.*,
*Song, R.*,
*He, S.*,
*Xu, W.*,
*Jiang, M.*,

**Clustering Passenger Trip Data for the Potential Passenger
Investigation and Line Design of Customized Commuter Bus**,

*ITS(20)*, No. 9, September 2019, pp. 3351-3360.

IEEE DOI
**1909**

Clustering algorithms, Smart cards, Urban areas, Planning,
Estimation, Prediction algorithms,
density-based spatial clustering algorithm
BibRef

*Li, M.[Minmin]*,
*Guo, R.Z.[Ren-Zhong]*,
*Li, Y.[You]*,
*He, B.[Biao]*,
*Fan, Y.[Yong]*,

**The Distribution Pattern of the Railway Network in China at the
County Level**,

*IJGI(8)*, No. 8, 2019, pp. xx-yy.

DOI Link
**1909**

BibRef

*Yang, D.[Dan]*,
*Chen, K.[Kairun]*,
*Yang, M.N.[Meng-Ning]*,
*Zhao, X.C.[Xiao-Chao]*,

**Urban rail transit passenger flow forecast based on LSTM with enhanced
long-term features**,

*IET-ITS(13)*, No. 10, October 2019, pp. 1475-1482.

DOI Link
**1909**

BibRef

*Han, Y.[Yong]*,
*Wang, C.[Cheng]*,
*Ren, Y.[Yibin]*,
*Wang, S.K.[Shu-Kang]*,
*Zheng, H.C.[Huang-Cheng]*,
*Chen, G.[Ge]*,

**Short-Term Prediction of Bus Passenger Flow Based on a Hybrid
Optimized LSTM Network**,

*IJGI(8)*, No. 9, 2019, pp. xx-yy.

DOI Link
**1909**

BibRef

*Huang, J.W.[Jian-Wei]*,
*Liu, X.T.[Xin-Tao]*,
*Zhao, P.X.[Peng-Xiang]*,
*Zhang, J.W.[Jun-Wei]*,
*Kwan, M.P.[Mei-Po]*,

**Interactions between Bus, Metro, and Taxi Use before and after the
Chinese Spring Festival**,

*IJGI(8)*, No. 10, 2019, pp. xx-yy.

DOI Link
**1910**

BibRef

*Zhao, J.*,
*Zhou, X.*,

**Improving the Operational Efficiency of Buses With Dynamic Use of
Exclusive Bus Lane at Isolated Intersections**,

*ITS(20)*, No. 2, February 2019, pp. 642-653.

IEEE DOI
**1902**

Delays, Optimization, Vehicle dynamics, Roads, Resource management,
Legged locomotion, Exclusive bus lane, dynamic control,
signalized intersections
BibRef

*Pili, F.[Francesco]*,
*Olivo, A.[Alessandro]*,
*Barabino, B.[Benedetto]*,

**Evaluating alternative methods to estimate bus running times by
archived automatic vehicle location data**,

*IET-ITS(13)*, No. 3, March 2019, pp. 523-530.

DOI Link
**1903**

BibRef

*He, P.*,
*Jiang, G.*,
*Lam, S.*,
*Tang, D.*,

**Travel-Time Prediction of Bus Journey With Multiple Bus Trips**,

*ITS(20)*, No. 11, November 2019, pp. 4192-4205.

IEEE DOI
**1911**

Trajectory, Public transportation, Predictive models,
Real-time systems, Prediction algorithms, Data models,
interval-based historical average
BibRef

*Jia, F.F.[Fei-Fan]*,
*Li, H.Y.[Hai-Ying]*,
*Jiang, X.[Xi]*,
*Xu, X.Y.[Xin-Yue]*,

**Deep learning-based hybrid model for short-term subway passenger flow
prediction using automatic fare collection data**,

*IET-ITS(13)*, No. 11, November 2019, pp. 1708-1716.

DOI Link
**1911**

BibRef

*Moyo, T.*,
*Musakwa, W.*,

**Exploring The Potential of Crowd Sourced Data to Map Commuter Points Of
Interest: a Case Study of Johannesburg**,

*C3MGBD19*(1587-1592).

DOI Link
**1912**

BibRef

*Yang, X.P.[Xi-Ping]*,
*Lu, S.[Shiwei]*,
*Zhao, W.F.[Wei-Feng]*,
*Zhao, Z.Y.[Zhi-Yuan]*,

**Exploring the Characteristics of an Intra-Urban Bus Service Network:
A Case Study of Shenzhen, China**,

*IJGI(8)*, No. 11, 2019, pp. xx-yy.

DOI Link
**1912**

BibRef

*Cui, Z.Y.[Zhi-Yong]*,
*Long, Y.[Ying]*,

**Perspectives on stability and mobility of transit passenger's travel
behaviour through smart card data**,

*IET-ITS(13)*, No. 12, December 2019, pp. 1761-1769.

DOI Link
**1912**

BibRef

*Chen, X.[Xi]*,
*Wang, Y.H.[Yin-Hai]*,
*Tang, J.J.[Jin-Jun]*,
*Dai, Z.[Zhuang]*,
*Ma, X.L.[Xiao-Lei]*,

**Examining regional mobility patterns of public transit and automobile
users based on the smart card and mobile Internet data: a case study of
Chengdu, China**,

*IET-ITS(14)*, No. 1, January 2020, pp. 45-55.

DOI Link
**2001**

BibRef

*Gokasar, I.*,
*Cetinel, Y.*,
*Baydogan, M.G.*,

**Estimation of Influence Distance of Bus Stops Using Bus GPS Data and
Bus Stop Properties**,

*ITS(20)*, No. 12, December 2019, pp. 4635-4642.

IEEE DOI
**2001**

Vegetation, Global Positioning System, Public transportation,
Linear regression, Regression tree analysis, Data mining,
public transport
BibRef

*Barabino, B.*,
*Coni, M.*,
*Olivo, A.*,
*Pungillo, G.*,
*Rassu, N.*,

**Standing Passenger Comfort: A New Scale for Evaluating the Real-Time
Driving Style of Bus Transit Services**,

*ITS(20)*, No. 12, December 2019, pp. 4665-4678.

IEEE DOI
**2001**

Kinematics, Parameter estimation, Intelligent vehicles,
Accelerometers, On-board bus comfort,
passengers' perceptions
BibRef

*Zhang, Y.*,
*Cheng, T.*,

**A Deep Learning Approach to Infer Employment Status of Passengers by
Using Smart Card Data**,

*ITS(21)*, No. 2, February 2020, pp. 617-629.

IEEE DOI
**2002**

Employment, Feature extraction, Deep learning, Predictive models,
Smart cards, Transportation, Correlation, Deep learning,
temporal travel behavior
BibRef

*Markou, I.*,
*Rodrigues, F.*,
*Pereira, F.C.*,

**Is Travel Demand Actually Deep? An Application in Event Areas Using
Semantic Information**,

*ITS(21)*, No. 2, February 2020, pp. 641-652.

IEEE DOI
**2002**

Public transportation, Predictive models, Urban areas,
Deep learning, Internet, Semantics, Time series forecasting,
deep Gaussian processes
BibRef

*Falsafain, H.*,
*Tamannaei, M.*,

**A Novel Dynamic Programming Approach to the Train Marshalling Problem**,

*ITS(21)*, No. 2, February 2020, pp. 701-710.

IEEE DOI
**2002**

Heuristic algorithms, Optimization, Complexity theory,
Dynamic programming, Approximation algorithms, Search problems,
train marshalling problem
BibRef

*Islam, M.F.[Md Faqhrul]*,
*Fonzone, A.[Achille]*,
*MacIver, A.[Andrew]*,
*Dickinson, K.[Keith]*,

**Use of ubiquitous real-time bus passenger information**,

*IET-ITS(14)*, No. 3, March 2020, pp. 139-147.

DOI Link
**2003**

BibRef

*Hu, R.[Rong]*,
*Chiu, Y.C.[Yi-Chang]*,
*Hsieh, C.W.[Chih-Wei]*,

**Crowding prediction on mass rapid transit systems using a weighted
bidirectional recurrent neural network**,

*IET-ITS(14)*, No. 3, March 2020, pp. 196-203.

DOI Link
**2003**

BibRef

*Jiao, J.F.[Jun-Feng]*,
*Cai, M.M.[Ming-Ming]*,

**Using Open Source Data to Identify Transit Deserts in Four Major
Chinese Cities**,

*IJGI(9)*, No. 2, 2020, pp. xx-yy.

DOI Link
**2003**

BibRef

*Du, B.*,
*Peng, H.*,
*Wang, S.*,
*Bhuiyan, M.Z.A.*,
*Wang, L.*,
*Gong, Q.*,
*Liu, L.*,
*Li, J.*,

**Deep Irregular Convolutional Residual LSTM for Urban Traffic
Passenger Flows Prediction**,

*ITS(21)*, No. 3, March 2020, pp. 972-985.

IEEE DOI
**2003**

Predictive models, Deep learning, Market research, Data models,
Convolution, Public transportation, urban computing
BibRef

*Achar, A.*,
*Bharathi, D.*,
*Kumar, B.A.*,
*Vanajakshi, L.*,

**Bus Arrival Time Prediction: A Spatial Kalman Filter Approach**,

*ITS(21)*, No. 3, March 2020, pp. 1298-1307.

IEEE DOI
**2003**

Travel time prediction, Kalman filter, time series, non-stationary
BibRef

*Chen, E.*,
*Ye, Z.*,
*Wang, C.*,
*Xu, M.*,

**Subway Passenger Flow Prediction for Special Events Using Smart Card
Data**,

*ITS(21)*, No. 3, March 2020, pp. 1109-1120.

IEEE DOI
**2003**

Public transportation, Data models, Predictive models,
Analytical models, Autoregressive processes, Smart cards,
Asymmetry
BibRef

*Laskaris, G.*,
*Seredynski, M.*,
*Viti, F.*,

**Enhancing Bus Holding Control Using Cooperative ITS**,

*ITS(21)*, No. 4, April 2020, pp. 1767-1778.

IEEE DOI
**2004**

Public transport, holding strategy, cooperative ITS, driver advisory systems
BibRef

*Zhang, K.*,
*Liu, Z.*,
*Zheng, L.*,

**Short-Term Prediction of Passenger Demand in Multi-Zone Level:
Temporal Convolutional Neural Network With Multi-Task Learning**,

*ITS(21)*, No. 4, April 2020, pp. 1480-1490.

IEEE DOI
**2004**

Short-term passenger demand prediction, multi-task learning,
deep learning, convolutional neural network
BibRef

*Seo, J.[Jeongwook]*,
*Cho, S.H.[Shin-Hyung]*,
*Kim, D.K.[Dong-Kyu]*,
*Park, P.Y.J.[Peter Young-Jin]*,

**Analysis of overlapping origin-destination pairs between bus stations
to enhance the efficiency of bus operations**,

*IET-ITS(14)*, No. 6, June 2020, pp. 545-553.

DOI Link
**2005**

BibRef

*Jenelius, E.*,

**Data-Driven Metro Train Crowding Prediction Based on Real-Time Load
Data**,

*ITS(21)*, No. 6, June 2020, pp. 2254-2265.

IEEE DOI
**2006**

Real-time systems, Automobiles, Load modeling, Predictive models,
Focusing, Regression tree analysis, Public transit, metro, crowding,
boosted tree ensemble
BibRef

*Liu, R.*,
*Li, S.*,
*Yang, L.*,
*Yin, J.*,

**Energy-Efficient Subway Train Scheduling Design With Time-Dependent
Demand Based on an Approximate Dynamic Programming Approach**,

*SMCS(50)*, No. 7, July 2020, pp. 2475-2490.

IEEE DOI
**2006**

Public transportation, Energy consumption, Optimization,
Computational modeling, Heuristic algorithms,
train scheduling
BibRef

*Daszczuk, W.B.*,

**Measures of Structure and Operation of Automated Transit Networks**,

*ITS(21)*, No. 7, July 2020, pp. 2966-2979.

IEEE DOI
**2007**

Benchmark testing, Entropy, Throughput, Analytical models,
Intelligent transportation systems, Size measurement,
systems engineering and theory-modeling-simulation-systems simulation
BibRef

*Xia, F.*,
*Wang, J.*,
*Kong, X.*,
*Zhang, D.*,
*Wang, Z.*,

**Ranking Station Importance With Human Mobility Patterns Using Subway
Network Datasets**,

*ITS(21)*, No. 7, July 2020, pp. 2840-2852.

IEEE DOI
**2007**

Public transportation, Planning, Complex networks,
Analytical models, Urban areas, Human mobility patterns,
subway networks
BibRef

*Michalak, M.[Marcin]*,
*Górka, W.[Wojciech]*,
*Baginski, J.[Jacek]*,
*Rogowski, D.[Dariusz]*,
*Socha, M.[Michal]*,
*Steclik, T.[Tomasz]*,
*Flisiuk, B.[Barbara]*,
*Lesniak, D.[Dawid]*,
*Sikora, M.[Marek]*,

**Central threat register- a complex system for risk analysis and
decision support in railway transport**,

*IET-ITS(14)*, No. 8, August 2020, pp. 970-981.

DOI Link
**2007**

BibRef

*Sharmila, R.B.*,
*Velaga, N.R.[Nagendra R.]*,
*Choudhary, P.[Pushpa]*,

**Bus arrival time prediction and measure of uncertainties using survival
models**,

*IET-ITS(14)*, No. 8, August 2020, pp. 900-907.

DOI Link
**2007**

BibRef

*Cheng, Q.[Qian]*,
*Deng, W.[Wei]*,
*Raza, M.A.[Muhammad Ammar]*,

**Analysis of the departure time choices of metro passengers during peak
hours**,

*IET-ITS(14)*, No. 8, August 2020, pp. 866-872.

DOI Link
**2007**

BibRef

*Zhang, L.[Lukai]*,
*Feng, X.S.[Xue-Song]*,
*Ding, C.C.[Chuan-Chen]*,
*Liu, Y.[Yi]*,

**Mitigating errors of predicted delays of a train at neighbouring stops**,

*IET-ITS(14)*, No. 8, August 2020, pp. 873-879.

DOI Link
**2007**

BibRef

*Yenisetty, P.T.[Pavan Teja]*,
*Bahadure, P.[Pankaj]*,

**Measuring Accessibility to Various ASFs from Public Transit using
Spatial Distance Measures in Indian Cities**,

*IJGI(9)*, No. 7, 2020, pp. xx-yy.

DOI Link
**2007**

BibRef

*Lv, J.*,
*Sun, Q.*,
*Li, Q.*,
*Moreira-Matias, L.*,

**Multi-Scale and Multi-Scope Convolutional Neural Networks for
Destination Prediction of Trajectories**,

*ITS(21)*, No. 8, August 2020, pp. 3184-3195.

IEEE DOI
**2008**

Trajectory, Public transportation, Prediction algorithms,
Predictive models, Clustering algorithms, Hidden Markov models,
convolutional neural network (CNN)
BibRef

*Wepulanon, P.*,
*Sumalee, A.*,
*Lam, W.H.K.*,

**Temporal Signatures of Passive Wi-Fi Data for Estimating Bus
Passenger Waiting Time at a Single Bus Stop**,

*ITS(21)*, No. 8, August 2020, pp. 3366-3376.

IEEE DOI
**2008**

Wireless fidelity, Estimation, Monitoring, Mobile handsets, Sensors,
Intelligent transportation systems, Time measurement,
passenger waiting time estimation
BibRef

*Lin, D.[Diao]*,
*Zhu, R.[Ruoxin]*,
*Yang, J.[Jian]*,
*Meng, L.Q.[Li-Qiu]*,

**An Open-Source Framework of Generating Network-Based Transit
Catchment Areas by Walking**,

*IJGI(9)*, No. 8, 2020, pp. xx-yy.

DOI Link
**2008**

BibRef

*Cai, Z.*,
*Li, T.*,
*Su, X.*,
*Guo, L.*,
*Ding, Z.*,

**Research on Analysis Method of Characteristics Generation of Urban
Rail Transit**,

*ITS(21)*, No. 9, September 2020, pp. 3608-3620.

IEEE DOI
**2008**

Rails, Urban areas, Public transportation, Predictive models,
Planning, Semantics, Urban rail transit, RC-tree, top-k retrieval,
similarity
BibRef

*Li, N.*,
*Kong, L.*,
*Shu, W.*,
*Wu, M.*,

**Benefits of Short-Distance Walking and Fast-Route Scheduling in
Public Vehicle Service**,

*ITS(21)*, No. 9, September 2020, pp. 3706-3717.

IEEE DOI
**2008**

Legged locomotion, Vehicles, Roads, Public transportation,
Urban areas, Public vehicle, passenger delivery, efficiency
BibRef

*Zhang, J.L.[Jin-Lei]*,
*Chen, F.[Feng]*,
*Guo, Y.[Yinan]*,
*Li, X.H.[Xiao-Hong]*,

**Multi-graph convolutional network for short-term passenger flow
forecasting in urban rail transit**,

*IET-ITS(14)*, No. 10, October 2020, pp. 1210-1217.

DOI Link
**2009**

BibRef

*Zhang, J.L.[Jin-Lei]*,
*Chen, F.[Feng]*,
*Cui, Z.Y.[Zhi-Yong]*,
*Guo, Y.[Yinan]*,
*Zhu, Y.[Yadi]*,

**Deep Learning Architecture for Short-Term Passenger Flow Forecasting
in Urban Rail Transit**,

*ITS(22)*, No. 11, November 2021, pp. 7004-7014.

IEEE DOI
**2112**

Predictive models, Atmospheric modeling, Deep learning,
Public transportation, Meteorology, Mathematical model,
short-term passenger flow forecasting
BibRef

*Gkiotsalitis, K.*,
*Eikenbroek, O.A.L.*,
*Cats, O.*,

**Robust Network-Wide Bus Scheduling With Transfer Synchronizations**,

*ITS(21)*, No. 11, November 2020, pp. 4582-4592.

IEEE DOI
**2011**

Dispatching, Schedules, Rails, Optimization,
Intelligent transportation systems, Cats, Bus scheduling, minimax,
transfer coordination
BibRef

*Seman, L.O.*,
*Koehler, L.A.*,
*Camponogara, E.*,
*Zimmermann, L.*,
*Kraus, W.*,

**Headway Control in Bus Transit Corridors Served by Multiple Lines**,

*ITS(21)*, No. 11, November 2020, pp. 4680-4692.

IEEE DOI
**2011**

Modeling, Schedules, Indexes, Predictive control, Feedback control,
Reliability, Real-time systems, Reserved bus lane, shared lanes,
holding control
BibRef

*Zhong, X.Z.[Xin-Zhi]*,
*Zou, Y.J.[Ya-Jie]*,
*Dong, Z.[Zhi]*,
*Yuan, S.X.[Shao-Xin]*,
*Ijaz, M.[Muhammad]*,

**Finite mixture survival model for examining the variability of urban
arterial travel time for buses, passenger cars and taxis**,

*IET-ITS(14)*, No. 12, December 2020, pp. 1524-1533.

DOI Link
**2011**

BibRef

*Johari, M.[Mansour]*,
*Keyvan-Ekbatani, M.[Mehdi]*,
*Ngoduy, D.[Dong]*,

**Impacts of bus stop location and berth number on urban network traffic
performance**,

*IET-ITS(14)*, No. 12, December 2020, pp. 1546-1554.

DOI Link
**2011**

BibRef

*Gkiotsalitis, K.[Konstantinos]*,

**Bus scheduling considering trip-varying travel times, vehicle
availability and capacity**,

*IET-ITS(14)*, No. 12, December 2020, pp. 1594-1605.

DOI Link
**2011**

BibRef

*Han, S.[Shuang]*,
*Fu, H.[Hui]*,
*Zhao, J.H.[Jia-Hong]*,
*Lin, J.Z.[Jun-Zhou]*,
*Zeng, W.L.[Wei-Liang]*,

**Modelling and simulation of hierarchical scheduling of real-time
responsive customised bus**,

*IET-ITS(14)*, No. 12, December 2020, pp. 1615-1625.

DOI Link
**2011**

BibRef

*Zheng, F.F.[Fang-Fang]*,
*Chen, J.[Jinbiao]*,
*Wang, H.[Heng]*,
*Liu, H.[Henry]*,
*Liu, X.B.[Xiao-Bo]*,

**Developing a dynamic utilisation scheme for exclusive bus lanes on
urban expressways: an enhanced CTM-based approach versus a
microsimulation-based approach**,

*IET-ITS(14)*, No. 12, December 2020, pp. 1657-1664.

DOI Link
**2011**

BibRef

*Bai, Y.*,
*Hu, Q.*,
*Ho, T.K.*,
*Guo, H.*,
*Mao, B.*,

**Timetable Optimization for Metro Lines Connecting to Intercity
Railway Stations to Minimize Passenger Waiting Time**,

*ITS(22)*, No. 1, January 2021, pp. 79-90.

IEEE DOI
**2012**

Mathematical model, Rail transportation, Optimization,
Predictive models, Genetic algorithms, Rails, Legged locomotion,
interior-point algorithm
BibRef

*Tong, P.*,
*Du, W.*,
*Li, M.*,
*Huang, J.*,
*Wang, W.*,
*Qin, Z.*,

**Last-Mile School Shuttle Planning With Crowdsensed Student
Trajectories**,

*ITS(22)*, No. 1, January 2021, pp. 293-306.

IEEE DOI
**2012**

Trajectory, Planning, Data structures, Optimization, Roads,
Wireless fidelity, Last-mile shuttle planning,
graph-based data structure
BibRef

*Shi, Z.C.[Zhi-Cheng]*,
*Pun-Cheng, L.S.C.[Lilian S. C.]*,
*Liu, X.[Xintao]*,
*Lai, J.H.[Jian-Hui]*,
*Tong, C.Z.[Cheng-Zhuo]*,
*Zhang, A.[Anshu]*,
*Zhang, M.[Min]*,
*Shi, W.Z.[Wen-Zhong]*,

**Analysis of the Temporal Characteristics of the Elderly Traveling by
Bus Using Smart Card Data**,

*IJGI(9)*, No. 12, 2020, pp. xx-yy.

DOI Link
**2012**

BibRef

*Zhang, Y.Y.[You-Yang]*,
*Zhu, C.F.[Chang-Feng]*,
*Wang, Q.R.[Qing-Rong]*,

**LightGBM-based model for metro passenger volume forecasting**,

*IET-ITS(14)*, No. 13, 15 December 2020, pp. 1815-1823.

DOI Link
**2102**

BibRef

*Shi, R.*,
*Steenkiste, P.*,
*Veloso, M.M.*,

**Improving the On-Vehicle Experience of Passengers Through SC-M*:
A Scalable Multi-Passenger Multi-Criteria Mobility Planner**,

*ITS(22)*, No. 2, February 2021, pp. 1026-1040.

IEEE DOI
**2102**

Planning, Urban areas, Path planning, Interference, Sociology,
Statistics, Scalability, Public transit system,
time-expanded graph
BibRef

*Perera, T.[Thilina]*,
*Wijesundera, D.[Deshya]*,
*Wijerathna, L.[Lahiru]*,
*Srikanthan, T.[Thambipillai]*,

**Directionality-centric bus transit network segmentation for on-demand
public transit**,

*IET-ITS(14)*, No. 13, 15 December 2020, pp. 1871-1881.

DOI Link
**2102**

BibRef

*Song, M.L.[Ming-Li]*,
*Jia, G.[Guangshe]*,

**Performance and Productivity of Regional Air Transport Systems in
China**,

*IJGI(10)*, No. 2, 2021, pp. xx-yy.

DOI Link
**2103**

BibRef

*Cui, H.F.[Hai-Fu]*,
*Wu, L.[Liang]*,
*Hu, S.[Sheng]*,
*Lu, R.J.[Ru-Juan]*,

**Measuring the Service Capacity of Public Facilities Based on a
Dynamic Voronoi Diagram**,

*RS(13)*, No. 5, 2021, pp. xx-yy.

DOI Link
**2103**

BibRef

*Ran, X.C.[Xin-Chen]*,
*Chen, S.K.[Shao-Kuan]*,
*Liu, G.H.[Ge-Hui]*,
*Bai, Y.[Yun]*,

**Energy-efficient approach combining train speed profile and timetable
optimisations for metro operations**,

*IET-ITS(14)*, No. 14, 27 December 2020, pp. 1967-1977.

DOI Link
**2103**

BibRef

*Lin, P.F.[Peng-Fei]*,
*Weng, J.C.[Jian-Cheng]*,
*Brands, D.K.[Devi K.]*,
*Qian, H.M.[Hui-Min]*,
*Yin, B.C.[Bao-Cai]*,

**Analysing the relationship between weather, built environment, and
public transport ridership**,

*IET-ITS(14)*, No. 14, 27 December 2020, pp. 1946-1954.

DOI Link
**2103**

BibRef

*Zheng, Z.H.[Zhi-Hao]*,
*Ling, X.M.[Xi-Man]*,
*Wang, P.[Pu]*,
*Xiao, J.H.[Jian-He]*,
*Zhang, F.[Fan]*,

**Hybrid model for predicting anomalous large passenger flow in urban
metros**,

*IET-ITS(14)*, No. 14, 27 December 2020, pp. 1987-1996.

DOI Link
**2103**

BibRef

*Ruiz-Pérez, M.[Maurici]*,
*Seguí-Pons, J.M.[Joana Maria]*,

**Bus Service Level and Horizontal Equity Analysis in the Context of
the Modifiable Areal Unit Problem**,

*IJGI(10)*, No. 3, 2021, pp. xx-yy.

DOI Link
**2104**

BibRef

*Das, R.D.[Rahul Deb]*,

**Understanding Users' Satisfaction towards Public Transit System in
India: A Case-Study of Mumbai**,

*IJGI(10)*, No. 3, 2021, pp. xx-yy.

DOI Link
**2104**

BibRef

*Li, B.[Bowen]*,
*Huang, Z.D.[Zheng-Dong]*,
*Xia, J.Z.[Ji-Zhe]*,
*Li, W.S.[Wen-Shu]*,
*Zhang, Y.[Ying]*,

**Coupling Degree between the Demand and Supply of Bus Services at
Stops: A Density-Based Approach**,

*IJGI(10)*, No. 3, 2021, pp. xx-yy.

DOI Link
**2104**

BibRef

*Wang, W.*,
*Zong, F.*,
*Yao, B.*,

**A Proactive Real-Time Control Strategy Based on Data-Driven Transit
Demand Prediction**,

*ITS(22)*, No. 4, April 2021, pp. 2404-2416.

IEEE DOI
**2104**

Real-time systems, Reliability, Dispatching, Public transportation,
Monitoring, Data-driven transit demand prediction,
dispatching time
BibRef

*Tang, J.*,
*Yang, Y.*,
*Hao, W.*,
*Liu, F.*,
*Wang, Y.*,

**A Data-Driven Timetable Optimization of Urban Bus Line Based on
Multi-Objective Genetic Algorithm**,

*ITS(22)*, No. 4, April 2021, pp. 2417-2429.

IEEE DOI
**2104**

Optimization, Global Positioning System, Companies,
Genetic algorithms, Smart cards, Encoding, Scheduling, Urban transit,
non-dominated sorting genetic algorithm-II (NSGA-II)
BibRef

*Lu, T.*,
*Yao, E.*,
*Zhang, Y.*,
*Yang, Y.*,

**Joint Optimal Scheduling for a Mixed Bus Fleet Under Micro Driving
Conditions**,

*ITS(22)*, No. 4, April 2021, pp. 2464-2475.

IEEE DOI
**2104**

Optimal scheduling, Job shop scheduling, Task analysis,
Transportation, Acceleration, Roads, Reliability, Bus scheduling,
vehicle scheduling
BibRef

*Yang, H.*,
*Zhang, Z.*,
*Fan, W.*,
*Xiao, F.*,

**Optimal Design for Demand Responsive Connector Service Considering
Elastic Demand**,

*ITS(22)*, No. 4, April 2021, pp. 2476-2486.

IEEE DOI
**2104**

Reliability, Numerical models, Uncertainty, Optimization, Connectors,
Transportation, Standards, Demand responsive connector,
traveling salesman problem
BibRef

*Liu, Y.*,
*Lyu, C.*,
*Liu, X.*,
*Liu, Z.*,

**Automatic Feature Engineering for Bus Passenger Flow Prediction Based
on Modular Convolutional Neural Network**,

*ITS(22)*, No. 4, April 2021, pp. 2349-2358.

IEEE DOI
**2104**

Machine learning, Microscopy, Integrated circuits, Neural networks,
Feature extraction, Time series analysis,
passenger flow prediction
BibRef

*Wu, W.*,
*Xia, Y.*,
*Jin, W.*,

**Predicting Bus Passenger Flow and Prioritizing Influential Factors
Using Multi-Source Data: Scaled Stacking Gradient Boosting Decision
Trees**,

*ITS(22)*, No. 4, April 2021, pp. 2510-2523.

IEEE DOI
**2104**

Predictive models, Data models, Boosting, Deep learning, Stacking,
Transportation, Decision trees, Public transport,
scaled stacking gradient boosting decision trees
BibRef

*Manchella, K.*,
*Umrawal, A.K.*,
*Aggarwal, V.*,

**FlexPool: A Distributed Model-Free Deep Reinforcement Learning
Algorithm for Joint Passengers and Goods Transportation**,

*ITS(22)*, No. 4, April 2021, pp. 2035-2047.

IEEE DOI
**2104**

Transportation, Reinforcement learning, Fuels, Adaptation models,
Urban areas, Public transportation, Heuristic algorithms,
fleet management
BibRef

*Iovino, L.[Ludovico]*,
*Nguyen, P.T.[Phuong T.]*,
*di Salle, A.[Amleto]*,
*Gallo, F.[Francesco]*,
*Flammini, M.[Michele]*,

**Unavailable Transit Feed Specification:
Making It Available with Recurrent Neural Networks**,

*ITS(22)*, No. 4, April 2021, pp. 2111-2122.

IEEE DOI
**2104**

Recurrent neural networks, Predictive models, Data mining,
Real-time systems, Hidden Markov models,
LSTM
BibRef

*Kazhamiakin, R.*,
*Loria, E.*,
*Marconi, A.*,
*Scanagatta, M.*,

**A Gamification Platform to Analyze and Influence Citizens' Daily
Transportation Choices**,

*ITS(22)*, No. 4, April 2021, pp. 2153-2167.

IEEE DOI
**2104**

Games, Urban areas, Public transportation, Ecosystems, Statistics,
Sociology, Engines, Sustainable mobility, smart city, gamification,
behavior change
BibRef

*Han, Y.[Yong]*,
*Peng, T.X.[Tong-Xin]*,
*Wang, C.[Cheng]*,
*Zhang, Z.H.[Zhi-Hao]*,
*Chen, G.[Ge]*,

**A Hybrid GLM Model for Predicting Citywide Spatio-Temporal Metro
Passenger Flow**,

*IJGI(10)*, No. 4, 2021, pp. xx-yy.

DOI Link
**2104**

BibRef

*Inturri, G.[Giuseppe]*,
*Giuffrida, N.[Nadia]*,
*Le Pira, M.[Michela]*,
*Fazio, M.[Martina]*,
*Ignaccolo, M.[Matteo]*,

**Linking Public Transport User Satisfaction with Service Accessibility
for Sustainable Mobility Planning**,

*IJGI(10)*, No. 4, 2021, pp. xx-yy.

DOI Link
**2104**

BibRef

*Lu, K.[Kai]*,
*Liu, J.T.[Jiang-Tao]*,
*Zhou, X.S.[Xue-Song]*,
*Han, B.M.[Bao-Ming]*,

**A Review of Big Data Applications in Urban Transit Systems**,

*ITS(22)*, No. 5, May 2021, pp. 2535-2552.

IEEE DOI
**2105**

Real-time systems, Optimization, Big Data applications,
Smart phones, Data models, Smart cards, Planning,
transit policy application
BibRef

*Díez-Jiménez, E.[Efrén]*,
*Fernández-Muñoz, M.[Miguel]*,
*Oliva-Domínguez, R.[Rubén]*,
*Fernández-Llorca, D.[David]*,
*Sotelo, M.Á.[Miguel Ángel]*,

**Personal Rapid Transport System Compatible With Current Railways and
Metros Infrastructure**,

*ITS(22)*, No. 5, May 2021, pp. 2891-2901.

IEEE DOI
**2105**

Rails, Rail transportation, Estimation, Wheels, Urban areas,
Autonomous vehicles, Person rapid transit, underground, subway,
individual transport
BibRef

*Bucchiarone, A.[Antonio]*,
*Battisti, S.[Sandro]*,
*Marconi, A.[Annapaola]*,
*Maldacea, R.[Roberto]*,
*Ponce, D.C.[Diego Cardona]*,

**Autonomous Shuttle-as-a-Service (ASaaS):
Challenges, Opportunities, and Social Implications**,

*ITS(22)*, No. 6, June 2021, pp. 3790-3799.

IEEE DOI
**2106**

Autonomous vehicles, Biological system modeling, Automobiles,
Safety, Smart cities, Smart mobility, autonomous shuttles,
mobility services
BibRef

*Sun, C.[Chao]*,
*Zhang, P.[Peng]*,
*Shi, Y.J.[Yu-Ji]*,
*Chang, Y.L.[Yu-Lin]*,

**Sensor Location Strategy and Scaling Rate Inference for
Origin-Destination Demand Estimation**,

*ITS(22)*, No. 6, June 2021, pp. 3455-3467.

IEEE DOI
**2106**

Estimation, Stochastic processes, Mobile handsets, Bayes methods,
Sociology, Statistics, Numerical models, Origin-destination demand,
Bayesian model
BibRef

*Li, P.Q.[Pei-Qing]*,
*Zhang, S.F.[Shun-Feng]*,
*Zhong, B.Q.[Bi-Qiang]*,
*Wu, J.[Jin]*,
*Zhang, H.[Hao]*,
*Chen, Y.K.[Yi-Kai]*,
*Fu, Y.[Yang]*,
*Wang, Q.B.[Qi-Bing]*,
*Li, Q.[Qipeng]*,

**Service quality evaluation of bus lines based on improved momentum
back-propagation neural network model: A study of Hangzhou in China**,

*IET-ITS(15)*, No. 7, 2021, pp. 958-972.

DOI Link
**2106**

BibRef

*Feng, F.[Fenling]*,
*Zhang, J.Q.[Jia-Qi]*,
*Liu, C.G.[Cheng-Guang]*,
*Li, W.[Wan]*,
*Jiang, Q.W.[Qi-Wei]*,

**Short-term railway passenger demand forecast using improved
Wasserstein generative adversarial nets and web search terms**,

*IET-ITS(15)*, No. 3, 2021, pp. 432-445.

DOI Link
**2106**

BibRef

*Xie, Z.[Ze]*,
*Zhu, J.S.[Jian-Sheng]*,
*Wang, F.Z.[Fu-Zhang]*,
*Li, W.[Wen]*,
*Wang, T.[Tuo]*,

**Long short-term memory based anomaly detection: A case study of China
railway passenger ticketing system**,

*IET-ITS(15)*, No. 1, 2021, pp. 98-106.

DOI Link
**2106**

BibRef

*Jing, Y.[Yun]*,
*Hu, H.T.[Hong-Tao]*,
*Guo, S.[Siye]*,
*Wang, X.[Xuan]*,
*Chen, F.Q.[Fang-Qiu]*,

**Short-Term Prediction of Urban Rail Transit Passenger Flow in
External Passenger Transport Hub Based on LSTM-LGB-DRS**,

*ITS(22)*, No. 7, July 2021, pp. 4611-4621.

IEEE DOI
**2107**

Rails, Predictive models, Adaptation models, Prediction algorithms,
Data models, Heuristic algorithms, Urban rail transit,
feature engineering
BibRef

*Qi, G.[Geqi]*,
*Ceder, A.[Avishai]*,
*Huang, A.[Ailing]*,
*Guan, W.[Wei]*,

**A Methodology to Attain Public Transit Origin-Destination Mobility
Patterns Using Multi-Layered Mesoscopic Analysis**,

*ITS(22)*, No. 10, October 2021, pp. 6256-6274.

IEEE DOI
**2110**

Urban areas, Tensile stress, Data mining, Clustering methods,
Smart cards, Correlation, Intelligent transportation systems,
smart card data
BibRef

*Hadjidimitriou, N.S.[Natalia Selini]*,
*Lippi, M.[Marco]*,
*Mamei, M.[Marco]*,

**A Data Driven Approach to Match Demand and Supply for Public
Transport Planning**,

*ITS(22)*, No. 10, October 2021, pp. 6384-6394.

IEEE DOI
**2110**

Global Positioning System, Clustering algorithms,
Mobile handsets, Public transportation, Urban areas, Estimation,
data fusion
BibRef

*Luo, D.[Dan]*,
*Zhao, D.[Dong]*,
*Ke, Q.[Qixue]*,
*You, X.Y.[Xiao-Yong]*,
*Liu, L.[Liang]*,
*Zhang, D.[Desheng]*,
*Ma, H.D.[Hua-Dong]*,
*Zuo, X.Q.[Xing-Quan]*,

**Fine-Grained Service-Level Passenger Flow Prediction for Bus Transit
Systems Based on Multitask Deep Learning**,

*ITS(22)*, No. 11, November 2021, pp. 7184-7199.

IEEE DOI
**2112**

Deep learning, Communications technology, Correlation, Urban areas,
Computer science, Predictive models, deep learning
BibRef

*Kumar, P.[Pramesh]*,
*Khani, A.[Alireza]*,

**Evaluating Special Event Transit Demand:
A Robust Principal Component Analysis Approach**,

*ITS(22)*, No. 12, December 2021, pp. 7370-7382.

IEEE DOI
**2112**

Matrix decomposition, Principal component analysis, Planning,
Road transportation, Smart cards, Estimation, Special event, outlier detection
BibRef

*Wang, J.C.[Jing-Cheng]*,
*Zhang, Y.[Yong]*,
*Wei, Y.[Yun]*,
*Hu, Y.L.[Yong-Li]*,
*Piao, X.L.[Xing-Lin]*,
*Yin, B.C.[Bao-Cai]*,

**Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution
Networks**,

*ITS(22)*, No. 12, December 2021, pp. 7891-7903.

IEEE DOI
**2112**

Predictive models, Public transportation, Convolution,
Neural networks, Graph neural networks, Forecasting, Urban areas,
graph neural network
BibRef

*Zhu, K.L.[Kang-Li]*,
*Yin, H.D.[Hao-Dong]*,
*Qu, Y.C.[Yun-Chao]*,
*Wu, J.J.[Jian-Jun]*,

**Measuring the Similarity of Metro Stations Based on the Passenger
Visit Distribution**,

*IJGI(11)*, No. 1, 2022, pp. xx-yy.

DOI Link
**2201**

BibRef

*Ang, K.L.M.[Kenneth Li-Minn]*,
*Seng, J.K.P.[Jasmine Kah Phooi]*,
*Ngharamike, E.[Ericmoore]*,
*Ijemaru, G.K.[Gerald K.]*,

**Emerging Technologies for Smart Cities' Transportation:
Geo-Information, Data Analytics and Machine Learning Approaches**,

*IJGI(11)*, No. 2, 2022, pp. xx-yy.

DOI Link
**2202**

BibRef

*Wang, X.[Xi]*,
*Li, S.[Shukai]*,
*Tang, T.[Tao]*,
*Yang, L.[Lixing]*,

**Event-Triggered Predictive Control for Automatic Train Regulation and
Passenger Flow in Metro Rail Systems**,

*ITS(23)*, No. 3, March 2022, pp. 1782-1795.

IEEE DOI
**2203**

Delays, Schedules, Predictive control, Rails, Rail transportation,
Real-time systems, Dynamic scheduling,
model predictive control (MPC)
BibRef

*Haliem, M.[Marina]*,
*Aggarwal, V.[Vaneet]*,
*Bhargava, B.[Bharat]*,

**AdaPool: A Diurnal-Adaptive Fleet Management Framework Using
Model-Free Deep Reinforcement Learning and Change Point Detection**,

*ITS(23)*, No. 3, March 2022, pp. 2471-2481.

IEEE DOI
**2203**

Adaptation models, Dispatching, Vehicle dynamics, Planning,
Heuristic algorithms, Urban areas, Reinforcement learning,
non-stationary MDPs
BibRef

*Liu, L.B.[Ling-Bo]*,
*Chen, J.W.[Jing-Wen]*,
*Wu, H.F.[He-Feng]*,
*Zhen, J.J.[Jia-Jie]*,
*Li, G.B.[Guan-Bin]*,
*Lin, L.[Liang]*,

**Physical-Virtual Collaboration Modeling for Intra- and Inter-Station
Metro Ridership Prediction**,

*ITS(23)*, No. 4, April 2022, pp. 3377-3391.

IEEE DOI
**2204**

Topology, Network topology, Correlation, Predictive models,
Convolution, Task analysis, Logic gates, Metro system,
virtual topology
BibRef

*Chen, E.[Enhui]*,
*Zhang, W.[Wenbo]*,
*Ye, Z.[Zhirui]*,
*Yang, M.[Min]*,

**Unraveling Latent Transfer Patterns Between Metro and Bus From
Large-Scale Smart Card Data**,

*ITS(23)*, No. 4, April 2022, pp. 3351-3365.

IEEE DOI
**2204**

Smart cards, Data models, Analytical models, Urban areas,
Probabilistic logic, Legged locomotion, Correlation,
latent pattern
BibRef

*Xue, G.[Gang]*,
*Liu, S.F.[Shi-Feng]*,
*Gong, D.[Daqing]*,

**Identifying Abnormal Riding Behavior in Urban Rail Transit:
A Survey on 'In-Out' in the Same Subway Station**,

*ITS(23)*, No. 4, April 2022, pp. 3201-3213.

IEEE DOI
**2204**

Public transportation, Rails, Feature extraction,
Predictive models, Law enforcement, Data models, Abnormal behavior,
urban rail transit
BibRef

*Liu, S.[Shasha]*,
*Yamamoto, T.[Toshiyuki]*,
*Yao, E.[Enjian]*,
*Nakamura, T.[Toshiyuki]*,

**Exploring Travel Pattern Variability of Public Transport Users
Through Smart Card Data: Role of Gender and Age**,

*ITS(23)*, No. 5, May 2022, pp. 4247-4256.

IEEE DOI
**2205**

Smart cards, Aging, Pattern analysis,
Intelligent transportation systems, Clustering algorithms,
smart card data
BibRef

*Li, C.[Can]*,
*Bai, L.[Lei]*,
*Liu, W.[Wei]*,
*Yao, L.[Lina]*,
*Waller, S.T.[S Travis]*,

**Graph Neural Network for Robust Public Transit Demand Prediction**,

*ITS(23)*, No. 5, May 2022, pp. 4086-4098.

IEEE DOI
**2205**

Predictive models, Uncertainty, Convolution, Correlation,
Demand forecasting, Bayes methods, Planning,
Bayesian inference
BibRef

*Wen, S.T.[Shi-Ting]*,
*Gao, Y.[Yunjun]*,
*Zhang, D.[Detian]*,
*Yang, J.Q.[Jin-Qiu]*,
*Li, Q.[Qing]*,

**An Efficient Data Acquisition System for Large Numbers of Various
Vehicle Terminals**,

*ITS(23)*, No. 5, May 2022, pp. 4720-4725.

IEEE DOI
**2205**

Data acquisition, Quality of service, Transportation,
Real-time systems, Streaming media, Servers, Encapsulation,
intelligent transportation
BibRef

*Yang, H.[Hong]*,
*Ruan, Z.[Zehan]*,
*Li, W.S.[Wen-Shu]*,
*Zhu, H.J.[Huan-Jie]*,
*Zhao, J.[Jie]*,
*Peng, J.D.[Jian-Dong]*,

**The Impact of Built Environment Factors on Elderly People's
Mobility Characteristics by Metro System Considering Spatial
Heterogeneity**,

*IJGI(11)*, No. 5, 2022, pp. xx-yy.

DOI Link
**2206**

BibRef

*Noursalehi, P.[Peyman]*,
*Koutsopoulos, H.N.[Haris N.]*,
*Zhao, J.H.[Jin-Hua]*,

**Dynamic Origin-Destination Prediction in Urban Rail Systems: A
Multi-Resolution Spatio-Temporal Deep Learning Approach**,

*ITS(23)*, No. 6, June 2022, pp. 5106-5115.

IEEE DOI
**2206**

Predictive models, Discrete wavelet transforms,
Real-time systems, Data models, Deep learning,
origin-destination demand
BibRef

*Zhang, Y.[Yi]*,
*Su, R.[Rong]*,
*Zhang, Y.C.[Yi-Cheng]*,
*Guruge, N.S.G.[Nadeesha Sandamali Gammana]*,

**A Multi-Bus Dispatching Strategy Based on Boarding Control**,

*ITS(23)*, No. 6, June 2022, pp. 5029-5043.

IEEE DOI
**2206**

Dispatching, Vehicle dynamics, Optimization, Schedules,
Genetic algorithms, Uncertainty, Solid modeling, genetic algorithm
BibRef

*Zhang, Y.[Yi]*,
*Su, R.[Rong]*,
*Zhang, Y.C.[Yi-Cheng]*,
*Wang, B.[Bohui]*,

**Dynamic Multi-Bus Dispatching Strategy With Boarding and Holding
Control for Passenger Delay Alleviation and Schedule Reliability: A
Combined Dispatching-Operation System**,

*ITS(23)*, No. 8, August 2022, pp. 12846-12860.

IEEE DOI
**2208**

Dispatching, Optimization, Delays, Mathematical models, Schedules,
Reliability, Costs, Public transport systems,
Lagrangian relaxation
BibRef

*Wu, C.F.[Chih-Fu]*,
*Gao, C.[Chenhui]*,
*Lin, K.C.[Kai-Chieh]*,
*Chang, Y.H.[Yi-Hsin]*,

**Evaluating Impacts of Bus Route Map Design and Dynamic Real-Time
Information Presentation on Bus Route Map Search Efficiency and
Cognitive Load**,

*IJGI(11)*, No. 6, 2022, pp. xx-yy.

DOI Link
**2206**

BibRef

*Zhang, Z.H.[Zhi-Hao]*,
*Han, Y.[Yong]*,
*Peng, T.X.[Tong-Xin]*,
*Li, Z.X.[Zhen-Xin]*,
*Chen, G.[Ge]*,

**A Comprehensive Spatio-Temporal Model for Subway Passenger Flow
Prediction**,

*IJGI(11)*, No. 6, 2022, pp. xx-yy.

DOI Link
**2206**

BibRef

*Chen, P.F.[Peng-Fei]*,
*Fu, X.[Xuandi]*,
*Wang, X.[Xue]*,

**A Graph Convolutional Stacked Bidirectional Unidirectional-LSTM
Neural Network for Metro Ridership Prediction**,

*ITS(23)*, No. 7, July 2022, pp. 6950-6962.

IEEE DOI
**2207**

Forecasting, Predictive models, Convolution, Time series analysis,
Feature extraction, Deep learning, Correlation,
parallel structure
BibRef

*Lin, H.F.[Hai-Feng]*,
*Tang, C.[Chengpei]*,

**Intelligent Bus Operation Optimization by Integrating Cases and Data
Driven Based on Business Chain and Enhanced Quantum Genetic Algorithm**,

*ITS(23)*, No. 7, July 2022, pp. 9869-9882.

IEEE DOI
**2207**

Scheduling, Quantum computing, Optimization, Job shop scheduling,
Computational modeling, Heuristic algorithms, Dispatching,
travel feature analysis
BibRef

*Wang, K.[Kai]*,
*Tsung, F.[Fugee]*,

**Sparse and Robust Multivariate Functional Principal Component
Analysis for Passenger Flow Pattern Discovery in Metro Systems**,

*ITS(23)*, No. 7, July 2022, pp. 8367-8379.

IEEE DOI
**2207**

Principal component analysis, Eigenvalues and eigenfunctions,
Correlation, Robustness, Rail transportation, Market research,
sparsity regularization
BibRef

*Wei, Z.H.[Zhong-Hua]*,
*Liang, J.X.[Jing-Xuan]*,
*Qiu, S.[Shi]*,
*Wang, S.F.[Shao-Fan]*,
*Liu, S.[Sheng]*,

**How Many Facilities are Needed? Evaluating Configurations of Subway
Security Check Systems via a Hybrid Queueing Model**,

*ITS(23)*, No. 7, July 2022, pp. 8209-8222.

IEEE DOI
**2207**

Public transportation, Security, Atmospheric modeling, Airports,
Data models, Detectors, Queueing analysis, density flow map
BibRef

*Bešinovic, N.[Nikola]*,
*Wang, Y.[Yihui]*,
*Zhu, S.[Songwei]*,
*Quaglietta, E.[Egidio]*,
*Tang, T.[Tao]*,
*Goverde, R.M.P.[Rob M. P.]*,

**A Matheuristic for the Integrated Disruption Management of Traffic,
Passengers and Stations in Urban Railway Lines**,

*ITS(23)*, No. 8, August 2022, pp. 10380-10394.

IEEE DOI
**2208**

Logic gates, Rail transportation, Mathematical model, Rails, Delays,
Iterative methods, Safety, Railway, disruption, resilience, passengers,
stations
BibRef

*Borges, R.M.[Rafael Mendes]*,
*Quaglietta, E.[Egidio]*,

**Assessing Hyperloop Transport Capacity Under Moving-Block and Virtual
Coupling Operations**,

*ITS(23)*, No. 8, August 2022, pp. 12612-12621.

IEEE DOI
**2208**

Rail transportation, Mathematical models, Junctions,
Electron tubes, Safety, Switches, Couplings, High-speed transport,
virtual coupling
BibRef

*Wang, T.[Tao]*,
*Xu, K.Y.[Ke-Yu]*,
*Tian, J.[Junfang]*,
*Zhang, J.[Jing]*,
*Gao, Z.Y.[Zi-You]*,
*Li, S.[Shubin]*,

**Boarding Time Estimation Using the Passenger Density Distribution on
the Bus**,

*ITS(23)*, No. 8, August 2022, pp. 13429-13442.

IEEE DOI
**2208**

Predictive models, Schedules, Uncertainty, Numerical models, Delays,
Data models, Business process re-engineering, Service time,
potential field
BibRef

*Fan, Z.Y.[Zhuang-Yuan]*,
*Zhang, F.[Fan]*,
*Loo, B.P.Y.[Becky P. Y.]*,

**Rhythm of Transit Stations - Uncovering the Activity-Travel Dynamics
of Transit-Oriented Development in the U.S.**,

*ITS(23)*, No. 8, August 2022, pp. 12503-12517.

IEEE DOI
**2208**

Urban areas, Fans, Planning, Space stations, Employment,
Density measurement, Clustering algorithms,
clustering analysis
BibRef

*Mo, B.[Baichuan]*,
*Zhao, Z.[Zhan]*,
*Koutsopoulos, H.N.[Haris N.]*,
*Zhao, J.H.[Jin-Hua]*,

**Individual Mobility Prediction in Mass Transit Systems Using Smart
Card Data: An Interpretable Activity-Based Hidden Markov Approach**,

*ITS(23)*, No. 8, August 2022, pp. 12014-12026.

IEEE DOI
**2208**

Hidden Markov models, Predictive models, Smart cards, Data models,
Spatiotemporal phenomena, History, Markov processes,
public transit
BibRef

*Xu, Z.Z.[Zi-Zhen]*,
*Chopra, S.S.[Shauhrat S.]*,
*Lee, H.[Hellas]*,

**Resilient Urban Public Transportation Infrastructure: A Comparison of
Five Flow-Weighted Metro Networks in Terms of the Resilience Cycle
Framework**,

*ITS(23)*, No. 8, August 2022, pp. 12688-12699.

IEEE DOI
**2208**

Resilience, Robustness, Measurement, Complex networks,
Public transportation, Urban areas, Faces, Complex network,
system performance
BibRef

*Zhao, J.J.[Juan-Juan]*,
*Zhang, L.[Liutao]*,
*Ye, J.X.[Jie-Xia]*,
*Xu, C.Z.[Cheng-Zhong]*,

**MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip
Destination Prediction in Public Transportation Systems**,

*ITS(23)*, No. 8, August 2022, pp. 13316-13329.

IEEE DOI
**2208**

Global Positioning System, Predictive models, Feature extraction,
Real-time systems, Data models, Deep learning, Trajectory,
individual mobility
BibRef

*Wang, D.[Di]*,
*Dewancker, B.[Bart]*,
*Duan, Y.Q.[Ya-Qiong ]*,
*Zhao, M.[Meng]*,

**Exploring Spatial Features of Population Activities and Functional
Facilities in Rail Transit Station Realm Based on Real-Time
Positioning Data: A Case of Xi'an Metro Line 2**,

*IJGI(11)*, No. 9, 2022, pp. xx-yy.

DOI Link
**2209**

BibRef

*Büchel, B.[Beda]*,
*Corman, F.[Francesco]*,

**What Do We Know When? Modeling Predictability of Transit Operations**,

*ITS(23)*, No. 9, September 2022, pp. 15684-15695.

IEEE DOI
**2209**

Predictive models, Stochastic processes, Reliability, Delays,
Mathematical models, Real-time systems, Decision making,
travel time variability
BibRef

*Guimarães, M.[Marta]*,
*Soares, C.[Cláudia]*,
*Ventura, R.[Rodrigo]*,

**Decision Support Models for Predicting and Explaining Airport
Passenger Connectivity From Data**,

*ITS(23)*, No. 9, September 2022, pp. 16005-16015.

IEEE DOI
**2209**

Delays, Airports, Atmospheric modeling, Schedules, Costs,
Predictive models, Aircraft, Airline schedule planning,
decision support models
BibRef

*Kong, X.J.[Xiang-Jie]*,
*Wang, K.[Kailai]*,
*Hou, M.L.[Ming-Liang]*,
*Xia, F.[Feng]*,
*Karmakar, G.[Gour]*,
*Li, J.X.[Jian-Xin]*,

**Exploring Human Mobility for Multi-Pattern Passenger Prediction:
A Graph Learning Framework**,

*ITS(23)*, No. 9, September 2022, pp. 16148-16160.

IEEE DOI
**2209**

Autoregressive processes, Predictive models, Task analysis,
Optimization, Data models, Smart cities.
BibRef

*He, Y.X.[Yu-Xin]*,
*Li, L.[Lishuai]*,
*Zhu, X.[Xinting]*,
*Tsui, K.L.[Kwok Leung]*,

**Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for
Short-Term Forecasting of Transit Passenger Flow**,

*ITS(23)*, No. 10, October 2022, pp. 18155-18174.

IEEE DOI
**2210**

Forecasting, Correlation, Spatiotemporal phenomena,
Predictive models, Transportation, Time series analysis, Rails,
multi-graph-convolution
BibRef

*Wang, K.P.[Kai-Peng]*,
*Wang, P.[Pu]*,
*Huang, Z.[Zhiren]*,
*Ling, X.[Ximan]*,
*Zhang, F.[Fan]*,
*Chen, A.[Anthony]*,

**A Two-Step Model for Predicting Travel Demand in Expanding Subways**,

*ITS(23)*, No. 10, October 2022, pp. 19534-19543.

IEEE DOI
**2210**

Public transportation, Predictive models, Data models, Urban areas,
Statistics, Sociology, Rails, Subway, travel demand prediction,
line extension
BibRef

*Fu, X.[Xin]*,
*Zhao, X.X.[Xiao-Xuan]*,
*Li, C.C.[Ceng-Ceng]*,
*Cui, M.Y.[Meng-Yan]*,
*Wang, J.W.[Jian-Wei]*,
*Qiang, Y.J.[Yong-Jie]*,

**Exploration of the spatiotemporal heterogeneity of metro ridership
prompted by built environment: A multi-source fusion perspective**,

*IET-ITS(16)*, No. 11, 2022, pp. 1455-1470.

DOI Link
**2210**

BibRef

*Xu, H.[Haihui]*,
*Zou, T.[Tao]*,
*Liu, M.Z.[Ming-Zhe]*,
*Qiao, Y.[Yanan]*,
*Wang, J.J.[Jing-Jing]*,
*Li, X.C.[Xu-Cheng]*,

**Adaptive Spatiotemporal Dependence Learning for Multi-Mode
Transportation Demand Prediction**,

*ITS(23)*, No. 10, October 2022, pp. 18632-18642.

IEEE DOI
**2210**

Feature extraction, Public transportation, Time series analysis,
Correlation, Convolution, Autoregressive processes, Semantics,
deep learning
BibRef

*Zhao, J.J.[Juan-Juan]*,
*Zhang, L.[Liutao]*,
*Ye, K.[Kejiang]*,
*Ye, J.X.[Jie-Xia]*,
*Zhang, J.[Jun]*,
*Zhang, F.[Fan]*,
*Xu, C.Z.[Cheng-Zhong]*,

**GLTC: A Metro Passenger Identification Method Across AFC Data and
Sparse WiFi Data**,

*ITS(23)*, No. 10, October 2022, pp. 18337-18351.

IEEE DOI
**2210**

Trajectory, Wireless fidelity, Soft sensors, Roads,
Space exploration, Spatiotemporal phenomena, passenger identification
BibRef

*Xie, Q.W.[Qi-Wei]*,
*Wu, X.[Xiao]*,
*Dai, Q.Z.[Qian-Zhi]*,
*Zheng, X.L.[Xiao-Long]*,
*Wang, F.Y.[Fei-Yue]*,

**An Integrated Data Envelopment Analysis and Non-Cooperative Game
Approach for Public Transportation Incentive Subsidy Allocation**,

*ITS(23)*, No. 11, November 2022, pp. 21515-21530.

IEEE DOI
**2212**

Resource management, Costs, Government, Games, Industries,
Behavioral sciences, Data envelopment analysis,
Nash non-cooperative game
BibRef

*Wei, L.[Li]*,
*Qiu, X.[Xiao]*,
*Pu, H.[Hao]*,
*Schonfeld, P.[Paul]*,
*Zhen, S.J.[Shu-Jun]*,
*Zhou, Y.H.[Yu-Hui]*,
*Xu, Z.J.[Zhan-Jun]*,

**Concurrent Optimization of Subway Vertical Alignments and Station
Elevations With Improved Particle Swarm Optimization Algorithm**,

*ITS(23)*, No. 12, December 2022, pp. 24929-24940.

IEEE DOI
**2212**

Optimization, Public transportation, Costs, Energy consumption,
Rail transportation, Linear programming, Rails, subway design
BibRef

*Sutopo, R.[Ricky]*,
*Lim, J.M.Y.[Joanne Mun-Yee]*,
*Baskaran, V.M.[Vishnu Monn]*,

**Efficient Long-Term Dependencies Learning for Passenger Flow
Prediction With Selective Feedback Mechanism**,

*ITS(23)*, No. 12, December 2022, pp. 24020-24030.

IEEE DOI
**2212**

Predictive models, Forecasting, Transformers,
Public transportation, Data models, Deep learning,
transformer
BibRef

*He, D.[Dan]*,
*Zhou, T.[Thomas]*,
*Zhou, X.F.[Xiao-Fang]*,
*Kim, J.[Jiwon]*,

**An Efficient Algorithm for Maximum Trajectory Coverage Query With
Approximation Guarantee**,

*ITS(23)*, No. 12, December 2022, pp. 24031-24043.

IEEE DOI
**2212**

Find k routes in a public transport system that can serve the maximum
number of users with given journey trajectories.
Trajectory, Greedy algorithms, Spatial databases, Urban areas,
Approximation algorithms, STEM, Optimization, Spatial database,
location-based applications
BibRef

*Chen, Y.Y.[Yan-Yan]*,
*Li, T.[Tongfei]*,
*Sun, Y.[Yan]*,
*Wu, J.J.[Jian-Jun]*,
*Guo, X.[Xin]*,
*Liu, D.[Di]*,

**Dynamic data-driven computation method for the number of waiting
passengers and waiting time in the urban rail transit network**,

*IET-ITS(17)*, No. 1, 2023, pp. 165-179.

DOI Link
**2301**

BibRef

*Xiong, Y.[Yajun]*,
*Tang, H.[Hui]*,
*Xu, T.[Tao]*,

**High-Speed Railway Access Pattern and Spatial Overlap Characteristics
of the Yellow River Basin Urban Agglomeration**,

*IJGI(12)*, No. 1, 2023, pp. xx-yy.

DOI Link
**2301**

BibRef

*Wei, L.X.[Ling-Xiang]*,
*Guo, D.[Dongjun]*,
*Chen, Z.L.[Zhi-Long]*,
*Yang, J.C.[Jin-Cheng]*,
*Feng, T.[Tianliu]*,

**Forecasting Short-Term Passenger Flow of Subway Stations Based on the
Temporal Pattern Attention Mechanism and the Long Short-Term Memory
Network**,

*IJGI(12)*, No. 1, 2023, pp. xx-yy.

DOI Link
**2301**

BibRef

*Pei, J.M.[Jia-Ming]*,
*Zhong, K.Y.[Kai-Yang]*,
*Li, J.H.[Jin-Hai]*,
*Yu, Z.[Zhi]*,

**PAC: Partial Area Clustering for Re-Adjusting the Layout of Traffic
Stations in City's Public Transport**,

*ITS(24)*, No. 1, January 2023, pp. 1251-1260.

IEEE DOI
**2301**

Layout, Public transportation, Rails,
Picture archiving and communication systems, Urban areas,
station layout and optimization
BibRef

*Liu, L.B.[Ling-Bo]*,
*Zhu, Y.Y.[Yu-Ying]*,
*Li, G.B.[Guan-Bin]*,
*Wu, Z.[Ziyi]*,
*Bai, L.[Lei]*,
*Lin, L.[Liang]*,

**Online Metro Origin-Destination Prediction via Heterogeneous
Information Aggregation**,

*PAMI(45)*, No. 3, March 2023, pp. 3574-3589.

IEEE DOI
**2302**

Time series analysis, Sparse matrices, Predictive models,
Task analysis, Transformers, Public transportation, Forecasting,
origin-destination ridership
BibRef

*Wang, X.[Xin]*,
*Zhu, C.F.[Chang-Feng]*,
*Jiang, J.H.[Jia-Hao]*,

**A deep learning and ensemble learning based architecture for metro
passenger flow forecast**,

*IET-ITS(17)*, No. 3, 2023, pp. 483-498.

DOI Link
**2303**

BibRef

*Liu, B.[Ben]*,
*Xu, Y.F.[Yun-Fei]*,
*Guo, S.[Sizhen]*,
*Yu, M.M.[Ming-Ming]*,
*Lin, Z.[Ziyue]*,
*Yang, H.[Hong]*,

**Examining the Nonlinear Impacts of Origin-Destination Built
Environment on Metro Ridership at Station-to-Station Level**,

*IJGI(12)*, No. 2, 2023, pp. xx-yy.

DOI Link
**2303**

BibRef

*Lai, Y.W.[Yuan-Wen]*,
*Wang, Y.[Yang]*,
*Xu, X.Y.[Xin-Ying]*,
*Easa, S.M.[Said M.]*,
*Zhou, X.W.[Xiao-Wei]*,

**Hybrid Models of Subway Passenger Flow Prediction Based on
Convolutional Neural Network**,

*IET-ITS(17)*, No. 4, 2023, pp. 716-729.

DOI Link
**2304**

BibRef

*Lai, Y.W.[Yuan-Wen]*,
*Wang, Y.[Yang]*,

**Short-term passenger flow prediction for rail transit based on
improved particle swarm optimization algorithm**,

*IET-ITS(17)*, No. 4, 2023, pp. 825-834.

DOI Link
**2304**

neural nets, particle swarm optimisation, prediction theory, rail transportation
BibRef

*Zhu, L.[Li]*,
*Shen, C.Z.[Chun-Zi]*,
*Wang, X.[Xi]*,
*Liang, H.[Hao]*,
*Wang, H.W.[Hong-Wei]*,
*Tang, T.[Tao]*,

**A Learning Based Intelligent Train Regulation Method With Dynamic
Prediction for the Metro Passenger Flow**,

*ITS(24)*, No. 4, April 2023, pp. 3935-3948.

IEEE DOI
**2304**

Regulation, Real-time systems, Predictive models,
Heuristic algorithms, Generative adversarial networks, Rails,
deep Q-learning
BibRef

*Li, P.[Pei]*,
*Wang, S.[Sheng]*,
*Zhao, H.T.[Han-Tao]*,
*Yu, J.[Jia]*,
*Hu, L.Y.[Li-Yang]*,
*Yin, H.D.[Hao-Dong]*,
*Liu, Z.Y.[Zhi-Yuan]*,

**IG-Net: An Interaction Graph Network Model for Metro Passenger Flow
Forecasting**,

*ITS(24)*, No. 4, April 2023, pp. 4147-4157.

IEEE DOI
**2304**

Forecasting, Predictive models, Multitasking, Data models,
Task analysis, Deep learning, Correlation, Metro stations,
inter-station interaction
BibRef

*Mei, Z.Y.[Zhen-Yu]*,
*Yu, W.T.[Wan-Ting]*,
*Tang, W.[Wei]*,
*Yu, J.H.[Jia-Hao]*,
*Cai, Z.Y.[Zheng-Yi]*,

**Attention mechanism-based model for short-term bus traffic passenger
volume prediction**,

*IET-ITS(17)*, No. 4, 2023, pp. 767-779.

DOI Link
**2304**

attention mechanism, bus stop information encoding,
intelligent transportation, multi-headed mechanism,
short-term bus traffic passenger flow prediction
BibRef

*Xu, Y.H.[Yu-Hang]*,
*Lyu, Y.[Yan]*,
*Xiong, G.[Guangwei]*,
*Wang, S.Y.[Shu-Yu]*,
*Wu, W.W.[Wei-Wei]*,
*Cui, H.[Helei]*,
*Luo, J.Z.[Jun-Zhou]*,

**Adaptive Feature Fusion Networks for Origin-Destination Passenger
Flow Prediction in Metro Systems**,

*ITS(24)*, No. 5, May 2023, pp. 5296-5312.

IEEE DOI
**2305**

Estimation, Correlation, Predictive models, Task analysis,
Multitasking, Roads, Knowledge based systems, Metro system, multi-task
BibRef

*Tang, T.L.[Tian-Li]*,
*Liu, R.H.[Rong-Hui]*,
*Choudhury, C.[Charisma]*,
*Fonzone, A.[Achille]*,
*Wang, Y.Y.[Yuan-Yuan]*,

**Predicting Hourly Boarding Demand of Bus Passengers Using Imbalanced
Records From Smart-Cards: A Deep Learning Approach**,

*ITS(24)*, No. 5, May 2023, pp. 5105-5119.

IEEE DOI
**2305**

Predictive models, Machine learning, Data models, Training,
Generative adversarial networks, Ensemble learning, deep neural network
BibRef

*Yan, J.M.[Jin-Ming]*,
*Wan, Q.Y.[Qiu-Yu]*,
*Feng, J.Y.[Jing-Yi]*,
*Wang, J.J.[Jian-Jun]*,
*Hu, Y.[Yiwen]*,
*Yan, X.X.[Xue-Xin]*,

**The Non-Linear Influence of Built Environment on the School Commuting
Metro Ridership: The Case in Wuhan, China**,

*IJGI(12)*, No. 5, 2023, pp. xx-yy.

DOI Link
**2306**

BibRef

IEEE DOI

Streaming media, Roads, Delays, Detectors, Wireless communication, Optimization, urban traffic, video detection, bus priority, VISSIM simulation BibRef

*Jamalul Shamsudin, N.L.*,
*Abdul Khanan, M.F.*,
*Umar, H.A.*,
*Atan, S.N.*,
*Din, A.H.M.*,

**Integrating Network Concept Into Multi Criteria Analysis for Suggesting
Bus Rapid Transit Routes**,

*GGT19*(309-317).

DOI Link
**1912**

BibRef

*Vergara, K.A.*,
*Sanchez, J.*,
*Bautista, E.L.*,

**Site Selection for New Point to Point (P2P) Bus Endpoints and Routes In
Metro Manila, Philippines**,

*GGT19*(659-666).

DOI Link
**1912**

BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in

Traffic Accidents, Analysis, Congestion, Not Image Analysis .

Last update:Jun 1, 2023 at 10:05:03