*Raubal, M.[Martin]*,
*Winter, S.[Stephan]*,
*Tessmann, S.[Sven]*,
*Gaisbauer, C.[Christian]*,

**Time geography for ad-hoc shared-ride trip planning in
mobile geosensor networks**,

*PandRS(58)*, No. 5-6, July 2004, pp. 289-300.

Elsevier DOI
**1202**

*Award, U.V. Helava, ISPRS*.
BibRef

*Braun, M.*,
*Winter, S.*,

**Ad Hoc Solution of the Multicommodity-Flow-Over-Time Problem**,

*ITS(10)*, No. 4, December 2009, pp. 658-667.

IEEE DOI
**0912**

Ad hoc shared ride systems.
BibRef

*Seow, K.T.*,
*Lee, D.H.*,

**Performance of Multiagent Taxi Dispatch on Extended-Runtime Taxi
Availability: A Simulation Study**,

*ITS(11)*, No. 1, March 2010, pp. 231-236.

IEEE DOI
**1003**

BibRef

*Yan, S.*,
*Chen, C.Y.*,
*Lin, Y.F.*,

**A Model With a Heuristic Algorithm for Solving the Long-Term
Many-to-Many Car Pooling Problem**,

*ITS(12)*, No. 4, December 2011, pp. 1362-1373.

IEEE DOI
**1112**

BibRef

*Jia, T.[Tao]*,
*Jiang, B.[Bin]*,

**Exploring Human Activity Patterns Using Taxicab Static Points**,

*IJGI(1)*, No. 1, June 2012, pp. 89-107;.

DOI Link
**1206**

BibRef

*Dimitrakopoulos, G.*,
*Demestichas, P.*,
*Koutra, V.*,

**Intelligent Management Functionality for Improving Transportation
Efficiency by Means of the Car Pooling Concept**,

*ITS(13)*, No. 2, June 2012, pp. 424-436.

IEEE DOI
**1206**

BibRef

*Moreira-Matias, L.*,
*Gama, J.*,
*Ferreira, M.*,
*Mendes-Moreira, J.*,
*Damas, L.*,

**Predicting Taxi-Passenger Demand Using Streaming Data**,

*ITS(14)*, No. 3, 2013, pp. 1393-1402.

IEEE DOI
**1309**

*Sardis Award, Research*. Autoregressive integrated moving average (ARIMA)
BibRef

*Yan, S.Y.[Shang-Yao]*,
*Chen, C.Y.[Chun-Ying]*,
*Chang, S.C.[Sheng-Chieh]*,

**A Car Pooling Model and Solution Method With Stochastic Vehicle
Travel Times**,

*ITS(15)*, No. 1, February 2014, pp. 47-61.

IEEE DOI
**1403**

automobiles
BibRef

*Pfrommer, J.*,
*Warrington, J.*,
*Schildbach, G.*,
*Morari, M.*,

**Dynamic Vehicle Redistribution and Online Price Incentives in Shared
Mobility Systems**,

*ITS(15)*, No. 4, August 2014, pp. 1567-1578.

IEEE DOI
**1410**

bicycles
BibRef

*Huang, S.C.[Shih-Chia]*,
*Jiau, M.K.[Ming-Kai]*,
*Lin, C.*,

**A Genetic-Algorithm-Based Approach to Solve Carpool Service Problems
in Cloud Computing**,

*ITS(16)*, No. 1, February 2015, pp. 352-364.

IEEE DOI
**1502**

Biological cells
BibRef

*Jiau, M.K.[Ming-Kai]*,
*Huang, S.C.[Shih-Chia]*,

**Services-Oriented Computing Using the Compact Genetic Algorithm for
Solving the Carpool Services Problem**,

*ITS(16)*, No. 5, October 2015, pp. 2711-2722.

IEEE DOI
**1511**

genetic algorithms
BibRef

*Arena, M.*,
*Azzone, G.*,
*Colorni, A.*,
*Conte, A.*,
*Lue`, A.*,
*Nocerino, R.*,

**Service design in electric vehicle sharing: evidence from Italy**,

*IET-ITS(9)*, No. 2, 2015, pp. 145-155.

DOI Link
**1504**

electric vehicles
BibRef

*Jorge, D.*,
*Correia, G.H.A.*,
*Barnhart, C.*,

**Comparing Optimal Relocation Operations With Simulated Relocation
Policies in One-Way Carsharing Systems**,

*ITS(15)*, No. 4, August 2014, pp. 1667-1675.

IEEE DOI
**1410**

mathematical programming
BibRef

*He, W.[Wen]*,
*Hwang, K.[Kai]*,
*Li, D.[Deyi]*,

**Intelligent Carpool Routing for Urban Ridesharing by Mining GPS
Trajectories**,

*ITS(15)*, No. 5, October 2014, pp. 2286-2296.

IEEE DOI
**1410**

Global Positioning System
BibRef

*Pelzer, D.*,
*Xiao, J.[Jiajian]*,
*Zehe, D.*,
*Lees, M.H.*,
*Knoll, A.C.*,
*Aydt, H.*,

**A Partition-Based Match Making Algorithm for Dynamic Ridesharing**,

*ITS(16)*, No. 5, October 2015, pp. 2587-2598.

IEEE DOI
**1511**

intelligent transportation systems
BibRef

*Zhang, J.*,
*Wen, D.*,
*Zeng, S.*,

**A Discounted Trade Reduction Mechanism for Dynamic Ridesharing
Pricing**,

*ITS(17)*, No. 6, June 2016, pp. 1586-1595.

IEEE DOI
**1606**

Companies
BibRef

*Leng, B.*,
*Du, H.*,
*Wang, J.*,
*Li, L.*,
*Xiong, Z.*,

**Analysis of Taxi Drivers' Behaviors Within a Battle Between Two Taxi
Apps**,

*ITS(17)*, No. 1, January 2016, pp. 296-300.

IEEE DOI
**1601**

Cities and towns
BibRef

*Yuan, W.*,
*Deng, P.*,
*Taleb, T.*,
*Wan, J.*,
*Bi, C.*,

**An Unlicensed Taxi Identification Model Based on Big Data Analysis**,

*ITS(17)*, No. 6, June 2016, pp. 1703-1713.

IEEE DOI
**1606**

Big data
BibRef

*Yang, G.[Gege]*,
*Song, C.[Ci]*,
*Shu, H.[Hua]*,
*Zhang, J.[Jia]*,
*Pei, T.[Tao]*,
*Zhou, C.[Chenghu]*,

**Assessing Patient bypass Behavior Using Taxi Trip Origin-Destination
(OD) Data**,

*IJGI(5)*, No. 9, 2016, pp. 157.

DOI Link
**1610**

BibRef

*Schweizer, J.*,
*Bernardi, S.*,
*Rupi, F.*,

**Map-matching algorithm applied to bicycle global positioning system
traces in Bologna**,

*IET-ITS(10)*, No. 4, 2016, pp. 244-250.

DOI Link
**1606**

Global Positioning System
BibRef

*Tang, L.L.[Lu-Liang]*,
*Sun, F.[Fei]*,
*Kan, Z.[Zihan]*,
*Ren, C.[Chang]*,
*Cheng, L.L.[Lu-Ling]*,

**Uncovering Distribution Patterns of High Performance Taxis from Big
Trace Data**,

*IJGI(6)*, No. 5, 2017, pp. xx-yy.

DOI Link
**1706**

BibRef

*Schlote, A.*,
*Chen, B.*,
*Shorten, R.*,

**On Closed-Loop Bicycle Availability Prediction**,

*ITS(16)*, No. 3, June 2015, pp. 1449-1455.

IEEE DOI
**1506**

Availability
BibRef

*Zhang, D.Q.*,
*Sun, L.*,
*Li, B.*,
*Chen, C.*,
*Pan, G.*,
*Li, S.J.*,
*Wu, Z.*,

**Understanding Taxi Service Strategies From Taxi GPS Traces**,

*ITS(16)*, No. 1, February 2015, pp. 123-135.

IEEE DOI
**1502**

Cities and towns
BibRef

*Castro, P.S.[Pablo Samuel]*,
*Zhang, D.Q.[Da-Qing]*,
*Chen, C.[Chao]*,
*Li, S.J.[Shi-Jian]*,
*Pan, G.[Gang]*,

**From taxi GPS traces to social and community dynamics: A survey**,

*Surveys(46)*, No. 2, November 2013, pp. Article No 17.

DOI Link
**1402**

Vehicles equipped with GPS localizers are an important sensory device
for examining people's movements and activities. Taxis equipped with
GPS localizers serve the transportation needs of a large number of
people driven by diverse needs;
BibRef

*Wu, H.B.[Hang-Bin]*,
*Fan, H.C.[Hong-Chao]*,
*Wu, S.Y.[Sheng-Yuan]*,

**Exploring Spatiotemporal Patterns of Long-Distance Taxi Rides in
Shanghai**,

*IJGI(6)*, No. 11, 2017, pp. xx-yy.

DOI Link
**1712**

BibRef

*An, S.[Shi]*,
*Yang, H.[Haiqiang]*,
*Wang, J.[Jian]*,

**Revealing Recurrent Urban Congestion Evolution Patterns with Taxi
Trajectories**,

*IJGI(7)*, No. 4, 2018, pp. xx-yy.

DOI Link
**1805**

BibRef

*Wang, Y.D.[Yan-Dong]*,
*Gu, Y.[Yanyan]*,
*Dou, M.X.[Ming-Xuan]*,
*Qiao, M.[Mengling]*,

**Using Spatial Semantics and Interactions to Identify Urban Functional
Regions**,

*IJGI(7)*, No. 4, 2018, pp. xx-yy.

DOI Link
**1805**

Using taxi origin/destination (O/D) flows.
BibRef

*Su, R.X.[Rong-Xiang]*,
*Fang, Z.X.[Zhi-Xiang]*,
*Xu, H.[Hong]*,
*Huang, L.[Lian]*,

**Uncovering Spatial Inequality in Taxi Services in the Context of a
Subsidy War among E-Hailing Apps**,

*IJGI(7)*, No. 6, 2018, pp. xx-yy.

DOI Link
**1806**

BibRef

*Alfeo, A.L.*,
*Cimino, M.G.C.A.[M. G. C. A.]*,
*Egidi, S.*,
*Lepri, B.*,
*Vaglini, G.*,

**A Stigmergy-Based Analysis of City Hotspots to Discover Trends and
Anomalies in Urban Transportation Usage**,

*ITS(19)*, No. 7, July 2018, pp. 2258-2267.

IEEE DOI
**1807**

Computational modeling, Global Positioning System, Pollution,
Pollution measurement, Public transportation, Urban areas,
taxi-GPS traces
BibRef

*Xu, J.*,
*Rahmatizadeh, R.*,
*Bölöni, L.*,
*Turgut, D.*,

**Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks**,

*ITS(19)*, No. 8, August 2018, pp. 2572-2581.

IEEE DOI
**1808**

Public transportation, Urban areas, Recurrent neural networks,
Predictive models, Global Positioning System,
mixture density networks
BibRef

*He, Z.*,
*Chen, K.*,
*Chen, X.*,

**A Collaborative Method for Route Discovery Using Taxi Drivers'
Experience and Preferences**,

*ITS(19)*, No. 8, August 2018, pp. 2505-2514.

IEEE DOI
**1808**

Public transportation, Roads, Vehicles, Collaboration, Trajectory,
Routing, Intelligent transportation systems,
knowledge acquisition
BibRef

*Chen, C.*,
*Jiao, S.*,
*Zhang, S.*,
*Liu, W.*,
*Feng, L.*,
*Wang, Y.*,

**TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging
Multi-Sourced Urban Data**,

*ITS(19)*, No. 10, October 2018, pp. 3292-3304.

IEEE DOI
**1810**

Public transportation, Real-time systems, Trajectory,
Global Positioning System, Semantics, Data mining, Urban areas,
trajectory data mining
BibRef

*Amar, H.M.*,
*Basir, O.A.*,

**A Game Theoretic Solution for the Territory Sharing Problem in Social
Taxi Networks**,

*ITS(19)*, No. 7, July 2018, pp. 2114-2124.

IEEE DOI
**1807**

Automobiles, Game theory, Games, Public transportation,
Resource management, Cooperative trip planning,
social taxi networks
BibRef

*He, B.[Biao]*,
*Zhang, Y.[Yan]*,
*Chen, Y.[Yu]*,
*Gu, Z.H.[Zhi-Hui]*,

**A Simple Line Clustering Method for Spatial Analysis with
Origin-Destination Data and Its Application to Bike-Sharing Movement
Data**,

*IJGI(7)*, No. 6, 2018, pp. xx-yy.

DOI Link
**1806**

BibRef

*Jing, W.P.[Wei-Peng]*,
*Kang, J.[Jian]*,
*Liu, M.[Meiling]*,

**Mining taxi trajectories for most suitable stations of sharing bikes to
ease traffic congestion**,

*IET-ITS(12)*, No. 7, September 2018, pp. 586-593.

DOI Link
**1808**

BibRef

*Clemente, M.*,
*Fanti, M.P.*,
*Iacobellis, G.*,
*Nolich, M.*,
*Ukovich, W.*,

**A Decision Support System for User-Based Vehicle Relocation in Car
Sharing Systems**,

*SMCS(48)*, No. 8, August 2018, pp. 1283-1296.

IEEE DOI
**1808**

automobiles, closed loop systems, decision support systems,
discrete event simulation, particle swarm optimisation,
optimization
BibRef

*Tang, G.*,
*Keshav, S.*,
*Golab, L.*,
*Wu, K.*,

**Bikeshare Pool Sizing for Bike-and-Ride Multimodal Transit**,

*ITS(19)*, No. 7, July 2018, pp. 2279-2289.

IEEE DOI
**1807**

Bicycles, Employment, Public transportation, Rail transportation,
Schedules, Sociology, Statistics, Bikeshare pool sizing, multimodal transit
BibRef

*Genikomsakis, K.N.*,
*Gutierrez, I.A.[I. Angulo]*,
*Thomas, D.*,
*Ioakimidis, C.S.*,

**Simulation and Design of Fast Charging Infrastructure for a
University-Based e-Carsharing System**,

*ITS(19)*, No. 9, September 2018, pp. 2923-2932.

IEEE DOI
**1809**

Batteries, Charging stations, Automobiles, State of charge,
Urban areas, MATLAB, Electric vehicles, battery chargers,
transportation
BibRef

*Rigas, E.S.[Emmanouil S.]*,
*Ramchurn, S.D.[Sarvapali D.]*,
*Bassiliades, N.[Nick]*,

**Algorithms for electric vehicle scheduling in large-scale
mobility-on-demand schemes**,

*AI(262)*, 2018, pp. 248-278.

Elsevier DOI
**1809**

Mixed integer programming, Heuristic search, Local search,
Max-flow, Electric vehicles, Shared vehicles, Mobility on demand
BibRef

*Gu, Z.H.[Zhi-Hui]*,
*Zhu, Y.[Yong]*,
*Zhang, Y.[Yan]*,
*Zhou, W.Y.[Wan-Yu]*,
*Chen, Y.[Yu]*,

**Heuristic Bike Optimization Algorithm to Improve Usage Efficiency of
the Station-Free Bike Sharing System in Shenzhen, China**,

*IJGI(8)*, No. 5, 2019, pp. xx-yy.

DOI Link
**1906**

BibRef

*Zhang, X.X.[Xin-Xin]*,
*Huang, B.[Bo]*,
*Zhu, S.Z.[Shun-Zhi]*,

**Spatiotemporal Influence of Urban Environment on Taxi Ridership Using
Geographically and Temporally Weighted Regression**,

*IJGI(8)*, No. 1, 2019, pp. xx-yy.

DOI Link
**1901**

BibRef

*Zong, F.*,
*Wu, T.*,
*Jia, H.*,

**Taxi Drivers' Cruising Patterns: Insights from Taxi GPS Traces**,

*ITS(20)*, No. 2, February 2019, pp. 571-582.

IEEE DOI
**1902**

Public transportation, Vehicles, Global Positioning System,
Urban areas, Roads, Taxi, GPS, cruising pattern, land use, pick-up points
BibRef

*Huang, F.*,
*Qiao, S.*,
*Peng, J.*,
*Guo, B.*,

**A Bimodal Gaussian Inhomogeneous Poisson Algorithm for Bike Number
Prediction in a Bike-Sharing System**,

*ITS(20)*, No. 8, August 2019, pp. 2848-2857.

IEEE DOI
**1908**

Predictive models, Nonhomogeneous media, Meteorology,
Prediction algorithms, Public transportation, Neural networks,
time series prediction
BibRef

*Yu, W.*,

**Discovering Frequent Movement Paths From Taxi Trajectory Data Using
Spatially Embedded Networks and Association Rules**,

*ITS(20)*, No. 3, March 2019, pp. 855-866.

IEEE DOI
**1903**

Trajectory, Public transportation, Data mining, Urban areas,
Space exploration, Clustering algorithms, Taxi trajectory,
spatial association rule
BibRef

*Kuang, L.[Li]*,
*Yan, X.J.[Xue-Jin]*,
*Tan, X.H.[Xian-Han]*,
*Li, S.[Shuqi]*,
*Yang, X.X.[Xiao-Xian]*,

**Predicting Taxi Demand Based on 3D Convolutional Neural Network and
Multi-task Learning**,

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

DOI Link
**1906**

BibRef

*Cheng, X.Q.[Xiao-Qian]*,
*Li, C.M.[Cheng-Ming]*,
*Du, W.B.[Wei-Bing]*,
*Shen, J.M.[Jian-Ming]*,
*Dai, Z.X.[Zhao-Xin]*,

**Trip Extraction of Shared Electric Bikes Based on
Multi-Rule-Constrained Homomorphic Linear Clustering Algorithm**,

*IJGI(8)*, No. 12, 2019, pp. xx-yy.

DOI Link
**1912**

BibRef

*Wang, H.[Huihui]*,
*Huang, H.[Hong]*,
*Ni, X.Y.[Xiao-Yong]*,
*Zeng, W.H.[Wei-Hua]*,

**Revealing Spatial-Temporal Characteristics and Patterns of Urban
Travel: A Large-Scale Analysis and Visualization Study with Taxi GPS
Data**,

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

DOI Link
**1908**

BibRef

*Hu, C.C.[Chun-Chun]*,
*Thill, J.C.[Jean-Claude]*,

**Predicting the Upcoming Services of Vacant Taxis near Fixed Locations
Using Taxi Trajectories**,

*IJGI(8)*, No. 7, 2019, pp. xx-yy.

DOI Link
**1908**

BibRef

*Xu, Y.[Ying]*,
*Li, D.S.[Dong-Sheng]*,

**Incorporating Graph Attention and Recurrent Architectures for
City-Wide Taxi Demand Prediction**,

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

DOI Link
**1909**

BibRef

*Liu, L.*,
*Qiu, Z.*,
*Li, G.*,
*Wang, Q.*,
*Ouyang, W.*,
*Lin, L.*,

**Contextualized Spatial-Temporal Network for Taxi Origin-Destination
Demand Prediction**,

*ITS(20)*, No. 10, October 2019, pp. 3875-3887.

IEEE DOI
**1910**

Public transportation, Task analysis, Correlation, Neural networks,
Urban areas, Context modeling, Predictive models,
spatial-temporal modeling
BibRef

*Yu, H.*,
*Chen, X.*,
*Li, Z.*,
*Zhang, G.*,
*Liu, P.*,
*Yang, J.*,
*Yang, Y.*,

**Taxi-Based Mobility Demand Formulation and Prediction Using
Conditional Generative Adversarial Network-Driven Learning Approaches**,

*ITS(20)*, No. 10, October 2019, pp. 3888-3899.

IEEE DOI
**1910**

Public transportation, Predictive models, Generators, Training,
Roads, Numerical models, Data models, Taxi system, machine learning,
big transportation data
BibRef

*Kondor, D.*,
*Zhang, H.*,
*Tachet, R.*,
*Santi, P.*,
*Ratti, C.*,

**Estimating Savings in Parking Demand Using Shared Vehicles for
Home-Work Commuting**,

*ITS(20)*, No. 8, August 2019, pp. 2903-2912.

IEEE DOI
**1908**

Automobiles, Urban areas, Autonomous vehicles, Roads,
Public transportation, Sociology, Statistics, Shared vehicles,
agent-based model
BibRef

*Cao, M.[Min]*,
*Ma, S.J.[Shang-Jing]*,
*Huang, M.X.[Meng-Xue]*,
*Lü, G.N.[Guo-Nian]*,
*Chen, M.[Min]*,

**Effects of Free-Floating Shared Bicycles on Urban Public
Transportation**,

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

DOI Link
**1909**

BibRef

*Zhao, X.F.[Xiao-Fei]*,
*Hu, C.Y.[Cai-Yi]*,
*Liu, Z.[Zhao]*,
*Meng, Y.Y.[Yang-Yang]*,

**Weighted Dynamic Time Warping for Grid-Based Travel-Demand-Pattern
Clustering: Case Study of Beijing Bicycle-Sharing System**,

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

DOI Link
**1908**

BibRef

*Zhu, M.*,
*Liu, X.*,
*Wang, X.*,

**An Online Ride-Sharing Path-Planning Strategy for Public Vehicle
Systems**,

*ITS(20)*, No. 2, February 2019, pp. 616-627.

IEEE DOI
**1902**

Quality of service, Public transportation, Path planning,
Schedules, Pollution, Peer-to-peer computing,
online/dynamic peer-to-peer ride-sharing
BibRef

*Zhai, Y.[Yong]*,
*Liu, J.[Jin]*,
*Du, J.[Juan]*,
*Wu, H.[Hao]*,

**Fleet Size and Rebalancing Analysis of Dockless Bike-Sharing Stations
Based on Markov Chain**,

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

DOI Link
**1909**

BibRef

*Dong, J.[Jian]*,
*Chen, B.[Bin]*,
*He, L.[Lingnan]*,
*Ai, C.[Chuan]*,
*Zhang, F.[Fang]*,
*Guo, D.[Danhuai]*,
*Qiu, X.G.[Xiao-Gang]*,

**A Spatio-Temporal Flow Model of Urban Dockless Shared Bikes Based on
Points of Interest Clustering**,

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

DOI Link
**1909**

BibRef

*Fu, X.Y.[Xiao-Yi]*,
*Zhang, C.[Ce]*,
*Lu, H.[Hua]*,
*Xu, J.L.[Jian-Liang]*,

**Efficient matching of offers and requests in social-aware ridesharing**,

*GeoInfo(23)*, No. 4, October 2019, pp. 559-589.

WWW Link.
**1911**

BibRef

*Christian, K.[Kapuku]*,
*Cho, S.H.[Shin-Hyung]*,
*Kho, S.Y.[Seung-Young]*,
*Kim, D.K.[Dong-Kyu]*,

**Bayesian models with spatial autocorrelation for bike sharing ridership
variability based on revealed preference GPS trajectory data**,

*IET-ITS(13)*, No. 11, November 2019, pp. 1658-1667.

DOI Link
**1911**

BibRef

*Panagiotopoulos, I.[Ilias]*,
*Dimitrakopoulos, G.[George]*,

**Cognitive intelligence of highly automated vehicles in a car-sharing
context**,

*IET-ITS(13)*, No. 11, November 2019, pp. 1604-1612.

DOI Link
**1911**

BibRef

*Ke, J.*,
*Yang, H.*,
*Zheng, H.*,
*Chen, X.*,
*Jia, Y.*,
*Gong, P.*,
*Ye, J.*,

**Hexagon-Based Convolutional Neural Network for Supply-Demand
Forecasting of Ride-Sourcing Services**,

*ITS(20)*, No. 11, November 2019, pp. 4160-4173.

IEEE DOI
**1911**

Forecasting, Urban areas, Automobiles,
Convolutional neural networks, Pricing,
ride-sourcing service
BibRef

*Chen, C.C.[Chian-Ching]*,
*Tsang, S.S.[Seng-Su]*,

**Predicting adoption of mobile payments from the perspective of taxi
drivers**,

*IET-ITS(13)*, No. 7, July 2019, pp. 1116-1124.

DOI Link
**1906**

BibRef

*Cao, M.[Min]*,
*Cai, B.[Boqin]*,
*Ma, S.J.[Shang-Jing]*,
*Lü, G.[Guonian]*,
*Chen, M.[Min]*,

**Analysis of the Cycling Flow Between Origin and Destination for
Dockless Shared Bicycles Based on Singular Value Decomposition**,

*IJGI(8)*, No. 12, 2019, pp. xx-yy.

DOI Link
**1912**

BibRef

*Yang, Z.*,
*Chen, J.*,
*Hu, J.*,
*Shu, Y.*,
*Cheng, P.*,

**Mobility Modeling and Data-Driven Closed-Loop Prediction in
Bike-Sharing Systems**,

*ITS(20)*, No. 12, December 2019, pp. 4488-4499.

IEEE DOI
**2001**

Predictive models, Bicycles, Urban areas, Optimization, Meteorology,
Probabilistic logic, Bike-sharing, mobility modeling,
Monte Carlo simulation
BibRef

*Babicheva, T.[Tatiana]*,
*Burghout, W.[Wilco]*,
*Andreasson, I.[Ingmar]*,
*Faul, N.[Nadege]*,

**Empty vehicle redistribution and fleet size in autonomous taxi systems**,

*IET-ITS(13)*, No. 4, April 2019, pp. 677-682.

DOI Link
**1903**

BibRef

*Al-Abbasi, A.O.*,
*Ghosh, A.*,
*Aggarwal, V.*,

**DeepPool: Distributed Model-Free Algorithm for Ride-Sharing Using
Deep Reinforcement Learning**,

*ITS(20)*, No. 12, December 2019, pp. 4714-4727.

IEEE DOI
**2001**

Automobiles, Dispatching, Public transportation,
Reinforcement learning, Vehicle dynamics, Real-time systems,
distributed algorithm
BibRef

*Lasmar, E.L.*,
*de Paula, F.O.*,
*Rosa, R.L.*,
*Abrahăo, J.I.*,
*Rodríguez, D.Z.*,

**RsRS: Ridesharing Recommendation System Based on Social Networks to
Improve the User's QoE**,

*ITS(20)*, No. 12, December 2019, pp. 4728-4740.

IEEE DOI
**2001**

Quality of experience, Machine learning algorithms,
Public transportation, Social networking (online), Vehicles,
mobile applications
BibRef

*Zhang, X.*,
*Zhao, Z.*,
*Zheng, Y.*,
*Li, J.*,

**Prediction of Taxi Destinations Using a Novel Data Embedding Method
and Ensemble Learning**,

*ITS(21)*, No. 1, January 2020, pp. 68-78.

IEEE DOI
**2001**

Public transportation, Trajectory, Hidden Markov models,
Predictive models, Markov processes, Global Positioning System,
ensemble learning
BibRef

*Qu, B.*,
*Yang, W.*,
*Cui, G.*,
*Wang, X.*,

**Profitable Taxi Travel Route Recommendation Based on Big Taxi
Trajectory Data**,

*ITS(21)*, No. 2, February 2020, pp. 653-668.

IEEE DOI
**2002**

Public transportation, Trajectory, Global Positioning System,
Vehicles, Probabilistic logic, Capacity planning, Kalman filters,
MapReduce
BibRef

*Fanti, M.P.*,
*Mangini, A.M.*,
*Pedroncelli, G.*,
*Ukovich, W.*,

**Fleet Sizing for Electric Car Sharing Systems in Discrete Event
System Frameworks**,

*SMCS(50)*, No. 3, March 2020, pp. 1161-1177.

IEEE DOI
**2002**

Optimization, Computational modeling, Automobiles,
Cascading style sheets, Analytical models, Mathematical model,
transportation
BibRef

*Li, Y.M.[Yi-Ming]*,
*Fang, J.Z.[Jing-Zhi]*,
*Zeng, Y.X.[Yu-Xiang]*,
*Maag, B.[Balz]*,
*Tong, Y.X.[Yong-Xin]*,
*Zhang, L.Y.[Ling-Yu]*,

**Two-sided online bipartite matching in spatial data:
Experiments and analysis**,

*GeoInfo(24)*, No. 1, January 2020, pp. 175-198.

Springer DOI
**2002**

Matching workers to tasks (sharing economy).
BibRef

*Huang, S.*,
*Lin, J.*,
*Jiau, M.*,

**Global and Local Pareto Optimality in Coevolution for Solving Carpool
Service Problem With Time Windows**,

*ITS(21)*, No. 3, March 2020, pp. 934-946.

IEEE DOI
**2003**

Vehicles, Search problems, Sociology, Statistics, Optimization,
Convergence, Genetic algorithms, Multi-objective optimization,
carpool service problem with time windows
BibRef

*Jiao, J.F.[Jun-Feng]*,
*Bai, S.[Shunhua]*,

**Understanding the Shared E-scooter Travels in Austin, TX**,

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

DOI Link
**2003**

BibRef

*Guo, X.G.[Xiao-Gang]*,
*Xu, Z.J.[Zhi-Jie]*,
*Zhang, J.Q.[Jian-Qin]*,
*Lu, J.[Jian]*,
*Zhang, H.[Hao]*,

**An OD Flow Clustering Method Based on Vector Constraints: A Case
Study for Beijing Taxi Origin-Destination Data**,

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

DOI Link
**2003**

BibRef

*Tang, J.*,
*Wang, Y.*,
*Hao, W.*,
*Liu, F.*,
*Huang, H.*,
*Wang, Y.*,

**A Mixed Path Size Logit-Based Taxi Customer-Search Model Considering
Spatio-Temporal Factors in Route Choice**,

*ITS(21)*, No. 4, April 2020, pp. 1347-1358.

IEEE DOI
**2004**

Path size logit model, taxi customer searching,
route choice model, intersection delays, travel time
BibRef

*Sun, Y.[Yeran]*,
*Ren, Y.[Yinming]*,
*Sun, X.[Xuan]*,

**Uber Movement Data: A Proxy for Average One-way Commuting Times by
Car**,

*IJGI(9)*, No. 3, 2020, pp. xx-yy.

DOI Link
**2004**

BibRef

*Cheng, L.[Luling]*,
*Yang, X.[Xue]*,
*Tang, L.[Luliang]*,
*Duan, Q.[Qian]*,
*Kan, Z.[Zihan]*,
*Zhang, X.[Xia]*,
*Ye, X.Y.[Xin-Yue]*,

**Spatiotemporal Analysis of Taxi-Driver Shifts Using Big Trace Data**,

*IJGI(9)*, No. 4, 2020, pp. xx-yy.

DOI Link
**2005**

BibRef

*Chen, P.C.[Po-Chuan]*,
*Hsieh, H.Y.[He-Yen]*,
*Su, K.W.[Kuan-Wu]*,
*Sigalingging, X.K.[Xanno Kharis]*,
*Chen, Y.R.[Yan-Ru]*,
*Leu, J.S.[Jenq-Shiou]*,

**Predicting station level demand in a bike-sharing system using
recurrent neural networks**,

*IET-ITS(14)*, No. 6, June 2020, pp. 554-561.

DOI Link
**2005**

BibRef

*Bayrak, A.E.*,
*Egilmez, M.M.*,
*Kuang, H.*,
*Li, X.*,
*Park, J.M.*,
*Umpfenbach, E.*,
*Anderson, E.*,
*Gorsich, D.*,
*Hu, J.*,
*Papalambros, P.Y.*,
*Epureanu, B.I.*,

**A System-of-Systems Approach to the Strategic Feasibility of Modular
Vehicle Fleets**,

*SMCS(50)*, No. 7, July 2020, pp. 2716-2728.

IEEE DOI
**2006**

Land vehicles, Maintenance engineering, Manufacturing,
US Department of Defense, Atmospheric modeling, Modular vehicle,
vehicle fleet
BibRef

*Jia, R.[Ruo]*,
*Li, Z.[Zhekang]*,
*Xia, Y.[Yan]*,
*Zhu, J.Y.[Jia-Yan]*,
*Ma, N.[Nan]*,
*Chai, H.[Hua]*,
*Liu, Z.[Zhiyuan]*,

**Urban road traffic condition forecasting based on sparse ride-hailing
service data**,

*IET-ITS(14)*, No. 7, July 2020, pp. 668-674.

DOI Link
**2006**

BibRef

*Wang, Y.L.[Yang-Lan]*,
*Zhang, Y.[Yi]*,
*Zhang, Y.[Yi]*,
*Ma, J.S.[Jiang-Shan]*,

**Dynamic real-time high-capacity ride-sharing model with subsequent
information**,

*IET-ITS(14)*, No. 7, July 2020, pp. 742-752.

DOI Link
**2006**

BibRef

*Ye, M.[Mao]*,
*Zeng, S.[Simeng]*,
*Yang, G.X.[Gui-Xin]*,
*Chen, Y.J.[Ya-Jing]*,

**Identification of contributing factors on travel mode choice among
different resident types with bike-sharing as an alternative**,

*IET-ITS(14)*, No. 7, July 2020, pp. 639-646.

DOI Link
**2006**

BibRef

*Wang, S.[Shuofeng]*,
*Li, Z.H.[Zhi-Heng]*,
*Gu, R.[Ruochen]*,
*Xie, N.[Na]*,

**Placement optimisation for station-free bicycle-sharing under 1D
distribution assumption**,

*IET-ITS(14)*, No. 9, September 2020, pp. 1079-1086.

DOI Link
**2008**

BibRef

*Zhang, X.X.[Xin-Xin]*,
*Huang, B.[Bo]*,
*Zhu, S.Z.[Shun-Zhi]*,

**Spatiotemporal Varying Effects of Built Environment on Taxi and
Ride-Hailing Ridership in New York City**,

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

DOI Link
**2008**

BibRef

*Kypriadis, D.*,
*Pantziou, G.*,
*Konstantopoulos, C.*,
*Gavalas, D.*,

**Optimizing Relocation Cost in Free-Floating Car-Sharing Systems**,

*ITS(21)*, No. 9, September 2020, pp. 4017-4030.

IEEE DOI
**2008**

Automobiles, Legged locomotion, Optimization, Dispatching,
Vehicle dynamics, Vehicle sharing systems, electric cars,
heuristics
BibRef

*Yu, X.*,
*Shen, S.*,

**An Integrated Decomposition and Approximate Dynamic Programming
Approach for On-Demand Ride Pooling**,

*ITS(21)*, No. 9, September 2020, pp. 3811-3820.

IEEE DOI
**2008**

Vehicles, Delays, Computational modeling, Optimization,
Vehicle dynamics, Stochastic processes, Dynamic programming,
approximate dynamic programming
BibRef

*Ren, Y.*,
*Zhao, F.*,
*Jin, H.*,
*Jiao, Z.*,
*Meng, L.*,
*Zhang, C.*,
*Sutherland, J.W.*,

**Rebalancing Bike Sharing Systems for Minimizing Depot Inventory and
Traveling Costs**,

*ITS(21)*, No. 9, September 2020, pp. 3871-3882.

IEEE DOI
**2008**

Bicycles, Routing, Mathematical model, Vehicle dynamics,
Mathematical programming, Biological system modeling,
mathematical programming
BibRef

*Salazar, M.*,
*Lanzetti, N.*,
*Rossi, F.*,
*Schiffer, M.*,
*Pavone, M.*,

**Intermodal Autonomous Mobility-on-Demand**,

*ITS(21)*, No. 9, September 2020, pp. 3946-3960.

IEEE DOI
**2008**

Roads, Pricing, Public transportation, Optimization, Urban areas,
Legged locomotion, Autonomous vehicles, networks, optimization,
public transportation
BibRef

*Wang, F.*,
*Zhu, Y.*,
*Wang, F.*,
*Liu, J.*,
*Ma, X.*,
*Fan, X.*,

**Car4Pac: Last Mile Parcel Delivery Through Intelligent Car Trip
Sharing**,

*ITS(21)*, No. 10, October 2020, pp. 4410-4424.

IEEE DOI
**2010**

Automobiles, Task analysis, Logistics, Fuels, Planning, Roads,
Intelligent transportation system, trajectory data mining,
travel cost prediction
BibRef

*Zhang, R.*,
*Ghanem, R.*,

**Demand, Supply, and Performance of Street-Hail Taxi**,

*ITS(21)*, No. 10, October 2020, pp. 4123-4132.

IEEE DOI
**2010**

Public transportation, Queueing analysis, Urban areas,
Global Positioning System, Analytical models, Supply and demand,
congestion
BibRef

*Hsieh, F.S.[Fu-Shiung]*,

**A Comparative Study of Several Metaheuristic Algorithms to Optimize
Monetary Incentive in Ridesharing Systems**,

*IJGI(9)*, No. 10, 2020, pp. xx-yy.

DOI Link
**2010**

BibRef

*Liu, Y.*,
*Liu, Z.*,
*Lyu, C.*,
*Ye, J.*,

**Attention-Based Deep Ensemble Net for Large-Scale Online Taxi-Hailing
Demand Prediction**,

*ITS(21)*, No. 11, November 2020, pp. 4798-4807.

IEEE DOI
**2011**

Predictive models, Public transportation, Task analysis,
Deep learning, Forecasting, Neural networks, Ensemble learning,
demand prediction
BibRef

*Hua, M.Z.[Ming-Zhuang]*,
*Chen, J.X.[Jing-Xu]*,
*Chen, X.[Xuewu]*,
*Gan, Z.X.[Zuo-Xian]*,
*Wang, P.F.[Peng-Fei]*,
*Zhao, D.[De]*,

**Forecasting usage and bike distribution of dockless bike-sharing using
journey data**,

*IET-ITS(14)*, No. 12, December 2020, pp. 1647-1656.

DOI Link
**2011**

BibRef

*Liu, Y.*,
*Lyu, C.*,
*Khadka, A.*,
*Zhang, W.*,
*Liu, Z.*,

**Spatio-Temporal Ensemble Method for Car-Hailing Demand Prediction**,

*ITS(21)*, No. 12, December 2020, pp. 5328-5333.

IEEE DOI
**2012**

Predictive models, Public transportation, Urban areas,
Time series analysis, Demand forecasting, Data models, Correlation,
fully convolutional networks
BibRef

*Jin, X.T.[Xue-Ting]*,
*Tong, D.Q.[Dao-Qin]*,

**Station-Free Bike Rebalancing Analysis: Scale, Modeling, and
Computational Challenges**,

*IJGI(9)*, No. 11, 2020, pp. xx-yy.

DOI Link
**2012**

BibRef

*Shen, B.[Boxi]*,
*Xu, X.[Xiang]*,
*Li, J.[Jun]*,
*Plaza, A.[Antonio]*,
*Huang, Q.[Qunying]*,

**Unfolding Spatial-Temporal Patterns of Taxi Trip based on an Improved
Network Kernel Density Estimation**,

*IJGI(9)*, No. 11, 2020, pp. xx-yy.

DOI Link
**2012**

BibRef

*Bistaffa, F.*,
*Blum, C.*,
*Cerquides, J.*,
*Farinelli, A.*,
*Rodríguez-Aguilar, J.A.*,

**A Computational Approach to Quantify the Benefits of Ridesharing for
Policy Makers and Travellers**,

*ITS(22)*, No. 1, January 2021, pp. 119-130.

IEEE DOI
**2012**

Automobiles, Quality of service, Peer-to-peer computing, Pollution,
Real-time systems, Ridesharing, collective intelligence,
integer linear programming
BibRef

*Zhang, W.B.[Wen-Bo]*,
*Xi, Y.F.[Yin-Fei]*,
*Ukkusuri, S.V.[Satish V.]*,

**Understanding Spatiotemporal Variations of Ridership by Multiple Taxi
Services**,

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

DOI Link
**2012**

BibRef

*Cheng, X.Q.[Xiao-Qian]*,
*Du, W.B.[Wei-Bing]*,
*Li, C.M.[Cheng-Ming]*,
*Yang, L.K.[Lei-Ku]*,
*Xu, L.J.[Lin-Juan]*,

**Exploring the Attractiveness of Residential Areas for Human
Activities Based on Shared E-Bike Trajectory Data**,

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

DOI Link
**2012**

BibRef

*Shi, J.*,
*Gao, Y.*,
*Wang, W.*,
*Yu, N.*,
*Ioannou, P.A.*,

**Operating Electric Vehicle Fleet for Ride-Hailing Services With
Reinforcement Learning**,

*ITS(21)*, No. 11, November 2020, pp. 4822-4834.

IEEE DOI
**2011**

Reinforcement learning, Routing, Electric vehicles,
Vehicle dynamics, Decision making, Charging stations, Batteries,
ride-hailing services
BibRef

*Schweizer, J.[Joerg]*,
*Rupi, F.[Federico]*,
*Poliziani, C.[Cristian]*,

**Estimation of link-cost function for cyclists based on stochastic
optimisation and GPS traces**,

*IET-ITS(14)*, No. 13, 15 December 2020, pp. 1810-1814.

DOI Link
**2102**

BibRef

*Rechkemmer, S.K.*,
*Zang, X.*,
*Boronka, A.*,
*Zhang, W.*,
*Sawodny, O.*,

**Utilization of Smartphone Data for Driving Cycle Synthesis Based on
Electric Two-Wheelers in Shanghai**,

*ITS(22)*, No. 2, February 2021, pp. 876-886.

IEEE DOI
**2102**

Data collection, Motorcycles, Data acquisition,
Global Positioning System, Instruments, Current measurement,
frequency analysis
BibRef

*Tang, L.*,
*Duan, Z.*,
*Zhu, Y.*,
*Ma, J.*,
*Liu, Z.*,

**Recommendation for Ridesharing Groups Through Destination Prediction
on Trajectory Data**,

*ITS(22)*, No. 2, February 2021, pp. 1320-1333.

IEEE DOI
**2102**

Trajectory, Automobiles, Semantics, Roads, Global Positioning System,
Ridesharing group, recommendation, destination prediction, trajectory
BibRef

*Wu, P.*,
*Yang, C.H.*,
*Chu, F.*,
*Zhou, M.*,
*Sedraoui, K.*,
*Sokhiry, F.S.A.[F. S. Al]*,

**Cost-Profit Trade-Off for Optimally Locating Automotive Service Firms
Under Uncertainty**,

*ITS(22)*, No. 2, February 2021, pp. 1014-1025.

IEEE DOI
**2102**

Stochastic processes, Transportation, Computational modeling,
Analytical models, Monte Carlo methods, Automotive engineering,
distribution-free model
BibRef

*Gan, Y.T.[Yi-Tong]*,
*Fan, H.C.[Hong-Chao]*,
*Jiao, W.[Wei]*,
*Sun, M.Q.[Meng-Qi]*,

**Exploring the Influence of E-Hailing Applications on the Taxi
Industry: From the Perspective of the Drivers**,

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

DOI Link
**2103**

BibRef

*Albuquerque, V.[Vitória]*,
*Dias, M.S.[Miguel Sales]*,
*Bacao, F.[Fernando]*,

**Machine Learning Approaches to Bike-Sharing Systems:
A Systematic Literature Review**,

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

DOI Link
**2103**

BibRef

*Gong, Y.J.*,
*Liu, Y.W.*,
*Lin, Y.*,
*Chen, W.N.*,
*Zhang, J.*,

**Real-Time Taxi-Passenger Matching Using a Differential Evolutionary
Fuzzy Controller**,

*SMCS(51)*, No. 5, May 2021, pp. 2712-2725.

IEEE DOI
**2104**

Public transportation, Optimization, Quality of service,
Real-time systems, Bipartite graph, Greedy algorithms,
taxi dispatch system
BibRef

*Shi, C.Y.[Chao-Yang]*,
*Li, Q.Q.[Qing-Quan]*,
*Lu, S.[Shiwei]*,
*Yang, X.P.[Xi-Ping]*,

**Modeling the Distribution of Human Mobility Metrics with Online
Car-Hailing Data: An Empirical Study in Xi'an, China**,

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

DOI Link
**2104**

BibRef

*Gao, F.[Feng]*,
*Li, S.Y.[Shao-Ying]*,
*Tan, Z.Z.[Zhang-Zhi]*,
*Zhang, X.M.[Xiao-Ming]*,
*Lai, Z.P.[Zhi-Peng]*,
*Tan, Z.[Ziling]*,

**How Is Urban Greenness Spatially Associated with Dockless Bike
Sharing Usage on Weekdays, Weekends, and Holidays?**,

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

DOI Link
**2104**

BibRef

*Pérez-Fernández, O.[Onel]*,
*García-Palomares, J.C.[Juan Carlos]*,

**Parking Places to Moped-Style Scooter Sharing Services Using GIS
Location-Allocation Models and GPS Data**,

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

DOI Link
**2104**

BibRef

*Shi, C.Y.[Chao-Yang]*,
*Li, Q.Q.[Qing-Quan]*,
*Lu, S.W.[Shi-Wei]*,
*Yang, X.P.[Xi-Ping]*,

**Exploring Temporal Intra-Urban Travel Patterns:
An Online Car-Hailing Trajectory Data Perspective**,

*RS(13)*, No. 9, 2021, pp. xx-yy.

DOI Link
**2105**

BibRef

*Rahman, M.T.[Md Tawhidur]*,
*Dey, K.[Kakan]*,
*Martinelli, D.R.[David R.]*,
*Mishra, S.[Sabya]*,

**Modeling and evaluation of a ridesharing matching system from
multi-stakeholders' perspective**,

*IET-ITS(15)*, No. 6, 2021, pp. 781-794.

DOI Link
**2106**

BibRef

*Rahman, M.H.[Md. Hishamur]*,
*Rifaat, S.M.[Shakil Mohammad]*,

**Using spatio-temporal deep learning for forecasting demand and
supply-demand gap in ride-hailing system with anonymised spatial
adjacency information**,

*IET-ITS(15)*, No. 7, 2021, pp. 941-957.

DOI Link
**2106**

convolutional neural network, deep learning, demand,
recurrent neural network, supply-demand gap
BibRef

*Fan, R.N.[Rui-Na]*,
*Ma, F.Q.[Fan-Qi]*,

**Bike-sharing systems with a dual selection mechanism and a dynamic
double-threshold repositioning policy**,

*IET-ITS(15)*, No. 5, 2021, pp. 712-725.

DOI Link
**2106**

BibRef

*Belhadi, A.[Asma]*,
*Djenouri, Y.[Youcef]*,
*Srivastava, G.[Gautam]*,
*Djenouri, D.[Djamel]*,
*Cano, A.[Alberto]*,
*Lin, J.C.W.[Jerry Chun-Wei]*,

**A Two-Phase Anomaly Detection Model for Secure Intelligent
Transportation Ride-Hailing Trajectories**,

*ITS(22)*, No. 7, July 2021, pp. 4496-4506.

IEEE DOI
**2107**

Public transportation, Trajectory, Anomaly detection, Databases,
Color, Vehicles, Trajectory database, outlier detection,
GPU computing
BibRef

*Wang, W.[Wei]*,
*Zhao, X.F.[Xiao-Feng]*,
*Gong, Z.G.[Zhi-Guo]*,
*Chen, Z.K.[Zhi-Kui]*,
*Zhang, N.[Ning]*,
*Wei, W.[Wei]*,

**An Attention-Based Deep Learning Framework for Trip Destination
Prediction of Sharing Bike**,

*ITS(22)*, No. 7, July 2021, pp. 4601-4610.

IEEE DOI
**2107**

Machine learning, Task analysis, Neural networks, Smart cities,
Convolution, Predictive models, Internet of Things,
attention model
BibRef

*Zhang, Y.[Yin]*,
*Li, Y.J.[Yu-Jie]*,
*Wang, R.R.[Ran-Ran]*,
*Hossain, M.S.[M. Shamim]*,
*Lu, H.M.[Hui-Min]*,

**Multi-Aspect Aware Session-Based Recommendation for Intelligent
Transportation Services**,

*ITS(22)*, No. 7, July 2021, pp. 4696-4705.

IEEE DOI
**2107**

Transportation, Data models, Machine learning, Navigation,
Recurrent neural networks, Safety, Multi-aspect, self-attention,
intelligent transportation services
BibRef

*Wang, R.[Rui]*,
*Chen, F.[Feng]*,
*Liu, X.B.[Xia-Bin]*,
*Liu, X.B.[Xia-Bing]*,
*Li, Z.Q.[Zhi-Qiang]*,
*Zhu, Y.[Yadi]*,

**A Matching Model for Door-to-Door Multimodal Transit by Integrating
Taxi-Sharing and Subways**,

*IJGI(10)*, No. 7, 2021, pp. xx-yy.

DOI Link
**2108**

BibRef

*He, B.[Bing]*,
*Liu, K.[Kang]*,
*Xue, Z.[Zhe]*,
*Liu, J.J.[Jia-Jun]*,
*Yuan, D.[Diping]*,
*Yin, J.[Jiyao]*,
*Wu, G.[Guohua]*,

**Spatial and Temporal Characteristics of Urban Tourism Travel by Taxi:
A Case Study of Shenzhen**,

*IJGI(10)*, No. 7, 2021, pp. xx-yy.

DOI Link
**2108**

BibRef

Springer DOI

BibRef

*Toro, J.F.*,
*Carrion, D.*,
*Brovelli, M.A.*,
*Percoco, M.*,

**Bikemi Bike-sharing Service Exploratory Analysis on Mobility Patterns**,

*ISPRS20*(B4:197-203).

DOI Link
**2012**

BibRef

*Yan, J.*,
*Xiang, L.*,
*Wu, C.*,
*Wu, H.*,

**City-scale Taxi Demand Prediction Using Multisource Urban Geospatial
Data**,

*ISPRS20*(B4:213-220).

DOI Link
**2012**

BibRef

*Berdeddouch, A.*,
*Yahyaouy, A.*,
*Benanni, Y.*,
*Verde, R.*,

**Deep Based Recommender System For Relevant K Pick-up Points**,

*ISCV20*(1-7)

IEEE DOI
**2011**

driver information systems, intelligent transportation systems,
learning (artificial intelligence), neural nets, Meters
BibRef

*Naseri Gorgoon, M.*,
*Davoodi, M.*,
*Davoodi, M.*,
*Motieyan, H.*,

**An Agent-based Modelling for Ride Sharing Optimization Using A*
Algorithm and Clustering Approach**,

*SMPR19*(793-796).

DOI Link
**1912**

BibRef

*Mojtabaee, P.*,
*Molavi, M.*,
*Taleai, M.*,

**Exploring Driving Factors of Higher Paid Taxi Trips Using
Origin-destination Gps Data (case Study: Green Taxis of New York City)**,

*SMPR19*(745-748).

DOI Link
**1912**

BibRef

*Coskun, I.B.*,
*Sertok, S.*,
*Anbaroglu, B.*,

**K-nearest Neighbour Query Performance Analyses On a Large Scale Taxi
Dataset: Postgresql Vs. Mongodb**,

*C3MGBD19*(1531-1538).

DOI Link
**1912**

BibRef

*Wang, H.*,
*Chen, X.J.*,
*Wang, Y.*,
*Shan, J.*,

**Local Maximum Density Approach for Small-scale Clustering of Urban Taxi
Stops**,

*SmartGeoApps19*(1361-1367).

DOI Link
**1912**

BibRef

*Rangriz, S.*,
*Davoodi, M.*,
*Saberian, J.*,

**A Novel Approach to Optimize The Ridesharing Problem Using Genetic
Algorithm**,

*SMPR19*(875-878).

DOI Link
**1912**

BibRef

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

Transit Traffic Analysis, Public Transit, Bus .

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