See also On-Demand Ride Systems, Car Sharing, Taxi, Analysis.

See also Bicycle Sharing, Bicycle Commuting, Bike Sharing.

*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

*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.J.[Jia-Jian]*,
*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

*d'Orey, P.M.*,
*Ferreira, M.*,

**Can ride-sharing become attractive? A case study of taxi-sharing
employing a simulation modelling approach**,

*IET-ITS(9)*, No. 2, 2015, pp. 210-220.

DOI Link
**1504**

quality of service
BibRef

*Tan, K.K.[Kok Kiong]*,
*Htet, K.K.K.[Kyaw Ko Ko]*,
*Narayanan, A.S.*,

**Mitigation of Vehicle Distribution in an EV Sharing Scheme for Last
Mile Transportation**,

*ITS(16)*, No. 5, October 2015, pp. 2631-2641.

IEEE DOI
**1511**

control engineering computing
BibRef

*Maciejewski, M.*,
*Bischoff, J.*,
*Nagel, K.*,

**An Assignment-Based Approach to Efficient Real-Time City-Scale Taxi
Dispatching**,

*IEEE_Int_Sys(31)*, No. 1, January 2016, pp. 68-77.

IEEE DOI
**1602**

automobiles
BibRef

*Zhan, X.*,
*Qian, X.*,
*Ukkusuri, S.V.*,

**A Graph-Based Approach to Measuring the Efficiency of an Urban Taxi
Service System**,

*ITS(17)*, No. 9, September 2016, pp. 2479-2489.

IEEE DOI
**1609**

Global Positioning System
BibRef

*Cangialosi, E.*,
*di Febbraro, A.*,
*Sacco, N.*,

**Designing a multimodal generalised ride sharing system**,

*IET-ITS(10)*, No. 4, 2016, pp. 227-236.

DOI Link
**1606**

BibRef

And:
Corrigendum:
*IET-ITS(12)*, No. 1, February 2018, pp. 86.

DOI Link 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

*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

*Zhang, D.Q.[Da-Qing]*,
*Sun, L.[Lin]*,
*Li, B.[Bin]*,
*Chen, C.[Chao]*,
*Pan, G.[Gang]*,
*Li, S.J.[Shi-Jian]*,
*Wu, Z.H.[Zhao-Hui]*,

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

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

IEEE DOI
**1502**

Cities and towns
BibRef

*Wu, Z.H.[Zhou-Hao]*,
*Li, Y.X.[Ya-Xiang]*,
*Wang, X.[Xin]*,
*Su, J.[Juan]*,
*Yang, L.[Liu]*,
*Nie, Y.[Yu]*,
*Wang, Y.Q.[Yuan-Qing]*,

**Mining Factors Affecting Taxi Detour Behavior from GPS Traces at
Directional Road Segment Level**,

*ITS(23)*, No. 7, July 2022, pp. 8013-8023.

IEEE DOI
**2207**

Public transportation, Roads, Vehicles, Magnetic resonance imaging,
Routing, Junctions, Indexes, Taxi detour behavior, map matching,
spatio-temporal distribution features
BibRef

*Jin, S.X.[Shu-Xin]*,
*Wu, Z.H.[Zhou-Hao]*,
*Shen, T.[Tong]*,
*Wang, D.[Di]*,
*Cai, M.[Ming]*,

**Uncovering Factors Affecting Taxi Income from GPS Traces at the
Directional Road Segment Level**,

*IJGI(11)*, No. 8, 2022, pp. xx-yy.

DOI Link
**2209**

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

*Qian, X.*,
*Ukkusuri, S.V.*,

**Time-of-Day Pricing in Taxi Markets**,

*ITS(18)*, No. 6, June 2017, pp. 1610-1622.

IEEE DOI
**1706**

Dynamic programming, Industries, Pricing, Public transportation,
Surges, Urban areas, Vehicles, Time-of-day pricing, daily operation,
market dynamics, revenue maximization, surge demand, value, function, approximation
BibRef

*Wu, L.[Liang]*,
*Hu, S.[Sheng]*,
*Yin, L.[Li]*,
*Wang, Y.Z.[Ya-Zhou]*,
*Chen, Z.L.[Zhan-Long]*,
*Guo, M.Q.[Ming-Qiang]*,
*Chen, H.[Hao]*,
*Xie, Z.[Zhong]*,

**Optimizing Cruising Routes for Taxi Drivers Using a Spatio-Temporal
Trajectory Model**,

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

DOI Link
**1712**

BibRef

*Wang, Y.L.[Yu-Long]*,
*Qin, K.[Kun]*,
*Chen, Y.X.[Yi-Xiang]*,
*Zhao, P.X.[Peng-Xiang]*,

**Detecting Anomalous Trajectories and Behavior Patterns Using
Hierarchical Clustering from Taxi GPS Data**,

*IJGI(7)*, No. 1, 2018, pp. xx-yy.

DOI Link
**1801**

BibRef

*Huang, S.*,
*Jiau, M.*,
*Chong, K.*,

**A Heuristic Multi-Objective Optimization Algorithm for Solving the
Carpool Services Problem Featuring High-Occupancy-Vehicle Itineraries**,

*ITS(19)*, No. 8, August 2018, pp. 2663-2674.

IEEE DOI
**1808**

Optimization, Genetic algorithms, Linear programming,
Heuristic algorithms, Algorithm design and analysis, Automobiles,
high-occupancy-vehicle itineraries
BibRef

*Davis, N.*,
*Raina, G.*,
*Jagannathan, K.*,

**Taxi Demand Forecasting: A HEDGE-Based Tessellation Strategy for
Improved Accuracy**,

*ITS(19)*, No. 11, November 2018, pp. 3686-3697.

IEEE DOI
**1812**

demand forecasting, forecasting theory, strategic planning,
time series, travel industry, HEDGE-based tessellation strategy, HEDGE
BibRef

*An, S.[Shi]*,
*Yang, H.Q.[Hai-Qiang]*,
*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.Y.[Yan-Yan]*,
*Dou, M.X.[Ming-Xuan]*,
*Qiao, M.L.[Meng-Ling]*,

**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

*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

*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

*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

*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

*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.Q.[Shu-Qi]*,
*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

*Wang, H.H.[Hui-Hui]*,
*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

*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

*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

*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

*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.[Abubakr O.]*,
*Ghosh, A.*,
*Aggarwal, V.[Vaneet]*,

**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

*Singh, A.[Ashutosh]*,
*Al-Abbasi, A.O.[Abubakr O.]*,
*Aggarwal, V.[Vaneet]*,

**A Distributed Model-Free Algorithm for Multi-Hop Ride-Sharing Using
Deep Reinforcement Learning**,

*ITS(23)*, No. 7, July 2022, pp. 8595-8605.

IEEE DOI
**2207**

Predictive models, Dispatching, Urban areas,
Reinforcement learning, Real-time systems, Automobiles,
distributed algorithms
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

*Dandl, F.*,
*Bogenberger, K.*,

**Comparing Future Autonomous Electric Taxis With an Existing
Free-Floating Carsharing System**,

*ITS(20)*, No. 6, June 2019, pp. 2037-2047.

IEEE DOI
**1906**

Public transportation, Optimization, Autonomous vehicles,
Vehicle dynamics, Companies, Urban areas, Autonomous taxis,
relocation
BibRef

*Lai, Y.*,
*Lv, Z.*,
*Li, K.*,
*Liao, M.*,

**Urban Traffic Coulomb's Law:
A New Approach for Taxi Route Recommendation**,

*ITS(20)*, No. 8, August 2019, pp. 3024-3037.

IEEE DOI
**1908**

Public transportation, Vehicles, Trajectory, Roads,
Global Positioning System, Heuristic algorithms,
taxi trajectories
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

*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.K.[Zhe-Kang]*,
*Xia, Y.[Yan]*,
*Zhu, J.Y.[Jia-Yan]*,
*Ma, N.[Nan]*,
*Chai, H.[Hua]*,
*Liu, Z.Y.[Zhi-Yuan]*,

**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

*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

*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.[Yang]*,
*Liu, Z.Y.[Zhi-Yuan]*,
*Lyu, C.[Cheng]*,
*Ye, J.P.[Jie-Ping]*,

**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

*Liu, Z.Y.[Zhi-Yuan]*,
*Liu, Y.[Yang]*,
*Lyu, C.[Cheng]*,
*Ye, J.P.[Jie-Ping]*,

**Building Personalized Transportation Model for Online Taxi-Hailing
Demand Prediction**,

*Cyber(51)*, No. 9, September 2021, pp. 4602-4610.

IEEE DOI
**2109**

Predictive models, Spatiotemporal phenomena, Feature extraction,
Public transportation, Data models, Data mining,
traffic prediction
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

*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

*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

*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

*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

*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

*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.P.[Di-Ping]*,
*Yin, J.[Jiyao]*,
*Wu, G.H.[Guo-Hua]*,

**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

*Tang, J.J.[Jin-Jun]*,
*Liang, J.[Jian]*,
*Yu, T.J.[Tian-Jian]*,
*Xiong, Y.[Yong]*,
*Zeng, G.L.[Guo-Liang]*,

**Trip destination prediction based on a deep integration network by
fusing multiple features from taxi trajectories**,

*IET-ITS(15)*, No. 9, 2021, pp. 1131-1141.

DOI Link
**2108**

BibRef

*Karamanis, R.[Renos]*,
*Anastasiadis, E.[Eleftherios]*,
*Angeloudis, P.[Panagiotis]*,
*Stettler, M.[Marc]*,

**Assignment and Pricing of Shared Rides in Ride-Sourcing Using
Combinatorial Double Auctions**,

*ITS(22)*, No. 9, September 2021, pp. 5648-5659.

IEEE DOI
**2109**

Pricing, Vehicles, Cost accounting, Resource management,
Biological system modeling, Approximation algorithms,
combinatorial double auctions
BibRef

*Ruch, C.[Claudio]*,
*Lu, C.Q.[Cheng-Qi]*,
*Sieber, L.[Lukas]*,
*Frazzoli, E.[Emilio]*,

**Quantifying the Efficiency of Ride Sharing**,

*ITS(22)*, No. 9, September 2021, pp. 5811-5816.

IEEE DOI
**2109**

Public transportation, Urban areas, Vehicle dynamics,
Quality of service, Benchmark testing, Ride sharing,
operational policies
BibRef

*Wang, J.C.[Jin-Cheng]*,
*Wu, Q.Q.[Qun-Qi]*,
*Chen, Z.L.[Zi-Lin]*,
*Ren, Y.L.[Yi-Long]*,
*Gao, Y.[Yaqun]*,

**Exploring the Factors of Intercity Ridesplitting Based on Observed
and GIS Data: A Case Study in China**,

*IJGI(10)*, No. 9, 2021, pp. xx-yy.

DOI Link
**2109**

BibRef

*Chen, Y.Y.[Yue-Yue]*,
*Guo, D.[Deke]*,
*Xu, M.[Ming]*,
*Tang, G.M.[Guo-Ming]*,
*Cheng, G.Y.[Ge-Yao]*,

**Measuring Maximum Urban Capacity of Taxi-Based Logistics**,

*ITS(22)*, No. 10, October 2021, pp. 6449-6459.

IEEE DOI
**2110**

Public transportation, Logistics, Urban areas,
Pollution measurement, Time measurement, urban mobility
BibRef

*Pandi, R.R.[Ramesh Ramasamy]*,
*Ho, S.G.[Song Guang]*,
*Nagavarapu, S.C.[Sarat Chandra]*,
*Dauwels, J.[Justin]*,

**A Generic GPU-Accelerated Framework for the Dial-A-Ride Problem**,

*ITS(22)*, No. 10, October 2021, pp. 6473-6488.

IEEE DOI
**2110**

Graphics processing units, Optimization, Transportation,
Instruction sets, Hardware, Search problems, Routing,
variable neighborhood search
BibRef

*Davis, N.[Neema]*,
*Raina, G.[Gaurav]*,
*Jagannathan, K.[Krishna]*,

**Grids Versus Graphs: Partitioning Space for Improved Taxi
Demand-Supply Forecasts**,

*ITS(22)*, No. 10, October 2021, pp. 6526-6535.

IEEE DOI
**2110**

Public transportation, Data models, Predictive models, Forecasting,
Urban areas, Computational modeling, Measurement, GraphLSTM
BibRef

*You, L.[Lan]*,
*Guan, Z.Y.[Zheng-Yi]*,
*Li, N.[Na]*,
*Zhang, J.H.[Jia-He]*,
*Cui, H.B.[Hai-Bo]*,
*Claramunt, C.[Christophe]*,
*Cao, R.[Rui]*,

**A Spatio-Temporal Schedule-Based Neural Network for Urban Taxi
Waiting Time Prediction**,

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

DOI Link
**2110**

BibRef

*Wang, D.[Di]*,
*Miwa, T.[Tomio]*,
*Morikawa, T.[Takayuki]*,

**Comparative Analysis of Spatial-Temporal Distribution between
Traditional Taxi Service and Emerging Ride-Hailing**,

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

DOI Link
**2110**

BibRef

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

**A Distributed Model-Free Ride-Sharing Approach for Joint Matching,
Pricing, and Dispatching Using Deep Reinforcement Learning**,

*ITS(22)*, No. 12, December 2021, pp. 7931-7942.

IEEE DOI
**2112**

Vehicles, Pricing, Dispatching, Planning, Urban areas,
Reinforcement learning, Decision making, Ride-sharing, route planning
BibRef

*Zhang, W.[Wenbo]*,
*Xu, C.[Chang]*,

**Exploring App-Based Taxi Movement Patterns from Large-Scale
Geolocation Data**,

*IJGI(10)*, No. 11, 2021, pp. xx-yy.

DOI Link
**2112**

BibRef

*Eldawy, E.O.[Eman O.]*,
*Hendawi, A.[Abdeltawab]*,
*Abdalla, M.[Mohammed]*,
*Mokhtar, H.M.O.[Hoda M. O.]*,

**FraudMove: Fraud Drivers Discovery Using Real-Time Trajectory Outlier
Detection**,

*IJGI(10)*, No. 11, 2021, pp. xx-yy.

DOI Link
**2112**

BibRef

*Chen, D.J.[De-Jun]*,
*Wang, J.[Jing]*,
*Xiong, C.C.[Cong-Cong]*,

**Research on origin-destination travel demand prediction method of
inter-regional online taxi based on SpatialOD-BiConvLSTM**,

*IET-ITS(15)*, No. 12, 2021, pp. 1533-1547.

DOI Link
**2112**

BibRef

*Chang, M.M.[Meng-Meng]*,
*Chi, Y.[Yuanying]*,
*Ding, Z.M.[Zhi-Ming]*,
*Tian, J.[Jing]*,
*Zheng, Y.H.[Yu-Hao]*,

**A Continuous Taxi Pickup Path Recommendation under The Carbon
Neutrality Context**,

*IJGI(10)*, No. 12, 2021, pp. xx-yy.

DOI Link
**2112**

BibRef

*Liu, J.[Ji]*,
*Bondiombouy, C.[Carlyna]*,
*Mo, L.[Lei]*,
*Valduriez, P.[Patrick]*,

**Two-Phase Scheduling for Efficient Vehicle Sharing**,

*ITS(23)*, No. 1, January 2022, pp. 457-470.

IEEE DOI
**2201**

Scheduling, Schedules, Vehicles, Urban areas, Task analysis,
Scheduling algorithms, Vehicle sharing, path planning problem,
optimization
BibRef

*Du, M.Y.[Ming-Yang]*,
*Li, X.F.[Xue-Feng]*,
*Kwan, M.P.[Mei-Po]*,
*Yang, J.Z.[Jing-Zong]*,
*Liu, Q.Y.[Qi-Yang]*,

**Understanding the Spatiotemporal Variation of High-Efficiency
Ride-Hailing Orders: A Case Study of Haikou, China**,

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

DOI Link
**2201**

BibRef

*Rong, H.G.[Hui-Gui]*,
*Huo, S.X.[Sheng-Xu]*,
*Zhang, Q.[Qun]*,
*Zheng, H.[Hui]*,
*Yang, C.[Chang]*,

**GREEN: A Global Optimization Scheme for Transportation Efficiency by
Mining Taxi Mobility**,

*ITS(23)*, No. 2, February 2022, pp. 1596-1606.

IEEE DOI
**2202**

Public transportation, Vehicles, Roads, Optimization, Trajectory,
Data mining, Urban areas, Mobility mining, seeking efficiency,
transportation efficiency
BibRef

*Zhang, C.Z.[Chi-Zhan]*,
*Zhu, F.[Fenghua]*,
*Wang, X.[Xiao]*,
*Sun, L.L.[Lei-Lei]*,
*Tang, H.[Haina]*,
*Lv, Y.S.[Yi-Sheng]*,

**Taxi Demand Prediction Using Parallel Multi-Task Learning Model**,

*ITS(23)*, No. 2, February 2022, pp. 794-803.

IEEE DOI
**2202**

Public transportation, Predictive models, Urban areas,
Task analysis, Deep learning, Data mining, Correlation,
deep learning
BibRef

*Zhang, C.Z.[Chi-Zhan]*,
*Zhu, F.[Fenghua]*,
*Lv, Y.S.[Yi-Sheng]*,
*Ye, P.J.[Pei-Jun]*,
*Wang, F.Y.[Fei-Yue]*,

**MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and
Regional Heterogeneity Analysis**,

*ITS(23)*, No. 7, July 2022, pp. 8412-8422.

IEEE DOI
**2207**

Public transportation, Predictive models, Urban areas,
Task analysis, Clustering algorithms, Prediction algorithms,
deep learning
BibRef

*Chen, D.[Duxin]*,
*Shao, Q.[Qi]*,
*Liu, Z.Y.[Zhi-Yuan]*,
*Yu, W.[Wenwu]*,
*Chen, C.L.P.[C. L. Philip]*,

**Ridesourcing Behavior Analysis and Prediction: A Network Perspective**,

*ITS(23)*, No. 2, February 2022, pp. 1274-1283.

IEEE DOI
**2202**

Automobiles, Urban areas, Trajectory, Global Positioning System,
Public transportation, Spatiotemporal phenomena, Ridesourcing,
transportation network companies
BibRef

*Lai, Y.X.[Yong-Xuan]*,
*Yang, S.P.[Shi-Peng]*,
*Xiong, A.[Anshu]*,
*Yang, F.[Fan]*,
*Li, L.[Lei]*,
*Zhou, X.F.[Xiao-Fang]*,

**Utility-Based Matching of Vehicles and Hybrid Requests on Rider
Demand Responsive Systems**,

*ITS(23)*, No. 2, February 2022, pp. 1058-1072.

IEEE DOI
**2202**

Real-time systems, Heuristic algorithms, Vehicle dynamics, Roads,
Task analysis, Public transportation, Companies,
rider demand responsive system
BibRef

*Hussain, I.[Iftikhar]*,
*Knapen, L.[Luk]*,
*Bellemans, T.[Tom]*,
*Janssens, D.[Davy]*,
*Wets, G.[Geert]*,

**A Matching Framework for Employees to Support Carpooling in the
Context of Large Companies**,

*ITS(23)*, No. 2, February 2022, pp. 1159-1170.

IEEE DOI
**2202**

Companies, Databases, Automobiles, Schedules, Personnel,
Genetic algorithms, Commuting, travel behavior, carpooling,
matching framework
BibRef

*Liu, Z.D.[Zhi-Dan]*,
*Li, J.Z.[Jiang-Zhou]*,
*Wu, K.S.[Kai-Shun]*,

**Context-Aware Taxi Dispatching at City-Scale Using Deep Reinforcement
Learning**,

*ITS(23)*, No. 3, March 2022, pp. 1996-2009.

IEEE DOI
**2203**

Public transportation, Dispatching, Reinforcement learning,
Urban areas, Roads, Adaptation models, Computational modeling,
taxi demand prediction
BibRef

*Luo, M.[Man]*,
*Du, B.[Bowen]*,
*Klemmer, K.[Konstantin]*,
*Zhu, H.M.[Hong-Ming]*,
*Wen, H.K.[Hong-Kai]*,

**Deployment Optimization for Shared e-Mobility Systems With
Multi-Agent Deep Neural Search**,

*ITS(23)*, No. 3, March 2022, pp. 2549-2560.

IEEE DOI
**2203**

Optimization, Public transportation, Urban areas,
Reinforcement learning, Planning, Search problems, Data models,
deep reinforcement learning
BibRef

*Chau, S.C.K.[Sid Chi-Kin]*,
*Shen, S.[Shuning]*,
*Zhou, Y.[Yue]*,

**Decentralized Ride-Sharing and Vehicle-Pooling Based on Fair
Cost-Sharing Mechanisms**,

*ITS(23)*, No. 3, March 2022, pp. 1936-1946.

IEEE DOI
**2203**

Roads, Public transportation, Urban areas, Vehicles,
Social networking (online), Market research, Decision making, stable matching
BibRef

*Li, J.W.[Jing-Wen]*,
*Xin, L.[Liang]*,
*Cao, Z.G.[Zhi-Guang]*,
*Lim, A.[Andrew]*,
*Song, W.[Wen]*,
*Zhang, J.[Jie]*,

**Heterogeneous Attentions for Solving Pickup and Delivery Problem via
Deep Reinforcement Learning**,

*ITS(23)*, No. 3, March 2022, pp. 2306-2315.

IEEE DOI
**2203**

Reinforcement learning, Routing, Peer-to-peer computing,
Heuristic algorithms, Deep learning, Decoding, Decision making,
pickup and delivery problem
BibRef

*Seo, T.[Toru]*,
*Asakura, Y.[Yasuo]*,

**Multi-Objective Linear Optimization Problem for Strategic Planning of
Shared Autonomous Vehicle Operation and Infrastructure Design**,

*ITS(23)*, No. 4, April 2022, pp. 3816-3828.

IEEE DOI
**2204**

Roads, Optimization, Vehicle dynamics, Routing, Transportation,
Resource management, Urban areas, Dynamic SAV assignment,
parking space allocation
BibRef

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

**PassGoodPool: Joint Passengers and Goods Fleet Management With
Reinforcement Learning Aided Pricing, Matching, and Route Planning**,

*ITS(23)*, No. 4, April 2022, pp. 3866-3877.

IEEE DOI
**2204**

Pricing, Planning, Dispatching, Vehicle dynamics, Vehicles,
Optimization, Heuristic algorithms, Ride-sharing, urban delivery,
fleet management
BibRef

*Mi, C.L.[Chun-Lei]*,
*Cheng, S.[Shifen]*,
*Lu, F.[Feng]*,

**Predicting Taxi-Calling Demands Using Multi-Feature and Residual
Attention Graph Convolutional Long Short-Term Memory Networks**,

*IJGI(11)*, No. 3, 2022, pp. xx-yy.

DOI Link
**2204**

BibRef

*Luo, A.[Aling]*,
*Shangguan, B.[Boyi]*,
*Yang, C.[Can]*,
*Gao, F.[Fan]*,
*Fang, Z.[Zhe]*,
*Yu, D.[Dayu]*,

**Spatial-Temporal Diffusion Convolutional Network: A Novel Framework
for Taxi Demand Forecasting**,

*IJGI(11)*, No. 3, 2022, pp. xx-yy.

DOI Link
**2204**

BibRef

*Ning, Z.L.[Zhao-Long]*,
*Sun, S.M.[Shou-Ming]*,
*Zhou, M.C.[Meng-Chu]*,
*Hu, X.P.[Xi-Ping]*,
*Wang, X.J.[Xiao-Jie]*,
*Guo, L.[Lei]*,
*Hu, B.[Bin]*,
*Kwok, R.Y.K.[Ricky Y. K.]*,

**Online Scheduling and Route Planning for Shared Buses in Urban
Traffic Networks**,

*ITS(23)*, No. 4, April 2022, pp. 3430-3444.

IEEE DOI
**2204**

User experience, Dynamic scheduling, Heuristic algorithms,
Companies, Vehicle dynamics, Schedules, Optimization, Shared bus,
multi-objective optimization
BibRef

*Liao, C.[Chengwu]*,
*Chen, C.[Chao]*,
*Xiang, C.[Chaocan]*,
*Huang, H.Y.[Hong-Yu]*,
*Xie, H.[Hong]*,
*Guo, S.T.[Song-Tao]*,

**Taxi-Passenger's Destination Prediction via GPS Embedding and
Attention-Based BiLSTM Model**,

*ITS(23)*, No. 5, May 2022, pp. 4460-4473.

IEEE DOI
**2205**

Trajectory, Public transportation, Global Positioning System,
Feature extraction, Neural networks, Predictive models,
attention mechanism
BibRef

*Gao, J.[Jie]*,
*Wong, T.[Terrence]*,
*Wang, C.[Chun]*,
*Yu, J.Y.[Jia Yuan]*,

**A Price-Based Iterative Double Auction for Charger Sharing Markets**,

*ITS(23)*, No. 6, June 2022, pp. 5116-5127.

IEEE DOI
**2206**

Vehicles, Processor scheduling, Electric vehicle charging,
Resource management, Sharing economy, Schedules, Pricing,
social welfare
BibRef

*Xu, Y.H.[Yu-Hang]*,
*Wang, W.[Wanyuan]*,
*Xiong, G.[Guangwei]*,
*Liu, X.[Xiang]*,
*Wu, W.W.[Wei-Wei]*,
*Liu, K.[Kai]*,

**Network-Flow-Based Efficient Vehicle Dispatch for City-Scale
Ride-Hailing Systems**,

*ITS(23)*, No. 6, June 2022, pp. 5526-5538.

IEEE DOI
**2206**

Real-time systems, Optimization, Vehicles, Prediction algorithms,
Heuristic algorithms, Dispatching, Demand forecasting,
scalable algorithm
BibRef

*Feng, S.Y.[Si-Yuan]*,
*Ke, J.T.[Jin-Tao]*,
*Yang, H.[Hai]*,
*Ye, J.P.[Jie-Ping]*,

**A Multi-Task Matrix Factorized Graph Neural Network for Co-Prediction
of Zone-Based and OD-Based Ride-Hailing Demand**,

*ITS(23)*, No. 6, June 2022, pp. 5704-5716.

IEEE DOI
**2206**

Predictive models, Task analysis, Decoding, Correlation,
Transportation, Data models, Semantics, Ride-hailing,
deep multi-task learning
BibRef

*Jing, C.F.[Chang-Feng]*,
*Hu, Y.[Yanru]*,
*Zhang, H.Y.[Hong-Yang]*,
*Du, M.Y.[Ming-Yi]*,
*Xu, S.S.[Shi-Shuo]*,
*Guo, X.[Xian]*,
*Jiang, J.[Jie]*,

**Context-Aware Matrix Factorization for the Identification of Urban
Functional Regions with POI and Taxi OD Data**,

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

DOI Link
**2206**

BibRef

*Manjunath, A.[Aishwarya]*,
*Raychoudhury, V.[Vaskar]*,
*Saha, S.[Snehanshu]*,
*Kar, S.[Saibal]*,
*Kamath, A.[Anusha]*,

**CARE-Share: A Cooperative and Adaptive Strategy for Distributed Taxi
Ride Sharing**,

*ITS(23)*, No. 7, July 2022, pp. 7028-7044.

IEEE DOI
**2207**

Public transportation, Vehicle dynamics, Vehicles, Optimization,
Heuristic algorithms, Urban areas, Linear programming, pareto optimization
BibRef

*Tosoni, F.[Francesco]*,
*Ferragina, P.[Paolo]*,
*Marino, A.[Andrea]*,
*Resta, G.[Giovanni]*,
*Santi, P.[Paolo]*,

**Locality Filtering for Efficient Ride Sharing Platforms**,

*ITS(23)*, No. 7, July 2022, pp. 7785-7804.

IEEE DOI
**2207**

Urban areas, Vehicles, Public transportation, Optimization,
Data structures, Computer science, Space exploration,
geometric data structures
BibRef

*Huo, X.[Xiang]*,
*Wu, X.[Xinkai]*,
*Fan, Y.Q.[Yu-Qi]*,
*Ding, C.[Chuan]*,

**A Mixed-Integer Program (MIP) for One-Way Multiple-Type Shared
Electric Vehicles Allocation With Uncertain Demand**,

*ITS(23)*, No. 7, July 2022, pp. 8972-8984.

IEEE DOI
**2207**

Resource management, Automobiles, Electric vehicles, Dispatching,
Data models, Companies, Vehicle dynamics, Carsharing,
uncertain demand
BibRef

*Cao, D.[Dun]*,
*Zeng, K.[Kai]*,
*Wang, J.[Jin]*,
*Sharma, P.K.[Pradip Kumar]*,
*Ma, X.M.[Xiao-Min]*,
*Liu, Y.H.[Yong-He]*,
*Zhou, S.Y.[Si-Yuan]*,

**BERT-Based Deep Spatial-Temporal Network for Taxi Demand Prediction**,

*ITS(23)*, No. 7, July 2022, pp. 9442-9454.

IEEE DOI
**2207**

Public transportation, Deep learning, Data models,
Predictive models, Urban areas, Spatiotemporal phenomena,
spatial-temporal network
BibRef

*Lai, G.J.[Gui-Jun]*,
*Shang, Y.Z.[Yu-Zhen]*,
*He, B.B.[Bin-Bao]*,
*Zhao, G.W.[Guan-Wei]*,
*Yang, M.Z.[Mu-Zhuang]*,

**Revealing Taxi Interaction Network of Urban Functional Area Units in
Shenzhen, China**,

*IJGI(11)*, No. 7, 2022, pp. xx-yy.

DOI Link
**2208**

BibRef

*Liu, C.X.[Chen-Xi]*,
*Chen, C.X.[Chao-Xiong]*,
*Chen, C.[Chao]*,

**META: A City-Wide Taxi Repositioning Framework Based on Multi-Agent
Reinforcement Learning**,

*ITS(23)*, No. 8, August 2022, pp. 13890-13895.

IEEE DOI
**2208**

Public transportation, Urban areas, Reinforcement learning,
Dispatching, Real-time systems, Training, Task analysis,
multi-agent learning
BibRef

*Heredia, C.[Cristóbal]*,
*Moreno, S.[Sebastián]*,
*Yushimito, W.F.[Wilfredo F.]*,

**Characterization of Mobility Patterns With a Hierarchical Clustering
of Origin-Destination GPS Taxi Data**,

*ITS(23)*, No. 8, August 2022, pp. 12700-12710.

IEEE DOI
**2208**

Public transportation, Global Positioning System,
Clustering methods, Clustering algorithms, Data models,
urban mobility patterns
BibRef

*Rivičre, B.[Benjamin]*,
*Chung, S.J.[Soon-Jo]*,

**H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi
Dispatch**,

*ITS(23)*, No. 8, August 2022, pp. 10935-10944.

IEEE DOI
**2208**

Public transportation, Computational modeling, Adaptation models,
Estimation, Vehicle dynamics, Heuristic algorithms,
autonomous vehicles
BibRef

*Qu, B.T.[Bo-Ting]*,
*Ren, X.Y.[Xin-Yu]*,
*Feng, J.[Jun]*,
*Wang, X.[Xin]*,

**A Dynamic Ridesplitting Method With Potential Pick-Up Probability
Based on GPS Trajectories**,

*ITS(23)*, No. 8, August 2022, pp. 10786-10802.

IEEE DOI
**2208**

Resource management, Vehicles, Trajectory,
Global Positioning System, Indexes, Time factors, Roads, Ridesharing,
iterated local search
BibRef

*Karamanis, R.[Renos]*,
*Anastasiadis, E.[Eleftherios]*,
*Stettler, M.[Marc]*,
*Angeloudis, P.[Panagiotis]*,

**Vehicle Redistribution in Ride-Sourcing Markets Using Convex Minimum
Cost Flows**,

*ITS(23)*, No. 8, August 2022, pp. 10287-10298.

IEEE DOI
**2208**

Public transportation, Autonomous vehicles, Predictive models,
Vehicles, Resource management, Pricing, Mathematical model,
network optimisation
BibRef

*Gao, J.[Jie]*,
*Li, X.M.[Xiao-Ming]*,
*Wang, C.[Chun]*,
*Huang, X.[Xiao]*,

**BM-DDPG: An Integrated Dispatching Framework for Ride-Hailing Systems**,

*ITS(23)*, No. 8, August 2022, pp. 11666-11676.

IEEE DOI
**2208**

Vehicles, Surges, Public transportation, Dispatching,
Prediction algorithms, Predictive models, Optimization,
social welfare
BibRef

*Bi, H.[Hui]*,
*Ye, Z.[Zhirui]*,
*Zhu, H.[He]*,

**Discovering Implicit Working Pace of Online Ride-Hailing Drivers:
An Exploratory Study**,

*ITS(23)*, No. 8, August 2022, pp. 10504-10513.

IEEE DOI
**2208**

Vehicles, Public transportation, Data mining, Data models,
Vehicle dynamics, Global Positioning System, Fatigue,
order-gap
BibRef

*Arif, A.[Anmar]*,
*Margellos, K.[Kostas]*,

**Locating Parking Hubs in Free-Floating Ride Share Systems via
Data-Driven Optimization**,

*ITS(23)*, No. 8, August 2022, pp. 11621-11632.

IEEE DOI
**2208**

Optimization, Uncertainty, Mathematical model, Indexes,
Computer interfaces, Urban areas, Resource management, robust optimization
BibRef

*Skordilis, E.[Erotokritos]*,
*Hou, Y.[Yi]*,
*Tripp, C.[Charles]*,
*Moniot, M.[Matthew]*,
*Graf, P.[Peter]*,
*Biagioni, D.[David]*,

**A Modular and Transferable Reinforcement Learning Framework for the
Fleet Rebalancing Problem**,

*ITS(23)*, No. 8, August 2022, pp. 11903-11916.

IEEE DOI
**2208**

Computational modeling, Reinforcement learning, Vehicle dynamics,
Renewable energy sources, Mathematical models,
intelligent control
BibRef

*Tang, L.[Lei]*,
*Liu, Z.[Zihang]*,
*Zhang, R.G.[Rong-Guo]*,
*Duan, Z.T.[Zong-Tao]*,
*Liang, Y.J.[Yun-Ji]*,

**Who Will Travel With Me? Personalized Ranking Using Attributed
Network Embedding for Pooling**,

*ITS(23)*, No. 8, August 2022, pp. 12311-12327.

IEEE DOI
**2208**

Vehicles, Schedules, Costs, Legged locomotion,
Intelligent transportation systems, Trajectory, Task analysis, SUMO
BibRef

*Monteiro de Lira, V.*,
*Perego, R.*,
*Renso, C.*,
*Rinzivillo, S.*,
*Times, V.C.[V. Cesario]*,

**Boosting Ride Sharing With Alternative Destinations**,

*ITS(19)*, No. 7, July 2018, pp. 2290-2300.

IEEE DOI
**1807**

Automobiles, Boosting, Resource management, Urban areas, Carpooling,
flexibility, green mobility, ride sharing
BibRef

*Yuan, C.[Changwei]*,
*Zhao, J.[Jiannan]*,
*Mao, X.H.[Xin-Hua]*,
*Duan, Y.X.[Ya-Xin]*,
*Ma, N.[Ningyuan]*,

**Uncovering the Relationship between Urban Road Network Topology and
Taxi Drivers' Income:
A Perspective from Spatial Design Network Analysis**,

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

DOI Link
**2209**

BibRef

*Qu, B.T.[Bo-Ting]*,
*Mao, L.[Linran]*,
*Xu, Z.Z.[Zhen-Zhou]*,
*Feng, J.[Jun]*,
*Wang, X.[Xin]*,

**How Many Vehicles Do We Need? Fleet Sizing for Shared Autonomous
Vehicles With Ridesharing**,

*ITS(23)*, No. 9, September 2022, pp. 14594-14607.

IEEE DOI
**2209**

Vehicle dynamics, Correlation, Predictive models, Costs, Simulation,
Trajectory, Public transportation, Minimum fleet size,
demand prediction
BibRef

*Hu, X.[Xu]*,
*Niu, X.Y.[Xiao-Yu]*,
*Qian, L.X.[Ling-Xin]*,
*Pan, B.H.[Bing-Huang]*,
*Yu, Z.Y.[Zhao-Yuan]*,

**Analyzing the multi-scale characteristic for online car-hailing
traffic volume with quantum walk**,

*IET-ITS(16)*, No. 10, 2022, pp. 1328-1341.

DOI Link
**2209**

BibRef

*Peng, W.[Wang]*,
*Du, L.[Lili]*,

**Investigating Optimal Carpool Scheme by a Semi-Centralized
Ride-Matching Approach**,

*ITS(23)*, No. 9, September 2022, pp. 14990-15004.

IEEE DOI
**2209**

Vehicles, Costs, Computational modeling, System performance,
Scalability, Optimization, Clustering algorithms, Carpool,
mixed integer programming
BibRef

*Iacobucci, R.[Riccardo]*,
*Bruno, R.[Raffaele]*,
*Boldrini, C.[Chiara]*,

**A Multi-Stage Optimisation Approach to Design Relocation Strategies
in One-Way Car-Sharing Systems With Stackable Cars**,

*ITS(23)*, No. 10, October 2022, pp. 17048-17061.

IEEE DOI
**2210**

Automobiles, Optimization, Costs, Uncertainty, Task analysis, Roads,
Computational modeling, Car sharing, vehicle relocation, optimisation
BibRef

*Zhong, J.[Jun]*,
*Zhou, H.[Huan]*,
*Lin, Y.[Yan]*,
*Ren, F.X.[Fang-Xiao]*,

**The impact of ride-hailing services on the use of traditional taxis:
Evidence from Chinese urban panel data**,

*IET-ITS(16)*, No. 11, 2022, pp. 1611-1622.

DOI Link
**2210**

BibRef

*Chen, Q.X.[Qi-Xiang]*,
*Lv, B.[Bin]*,
*Hao, B.B.[Bin-Bin]*,
*Luo, W.Z.[Wei-Zhuang]*,
*Lang, B.[Binke]*,
*Li, X.[Xu]*,

**Modelling multiple quantiles together with the mean based on
SA-ConvLSTM for taxi pick-up prediction**,

*IET-ITS(16)*, No. 11, 2022, pp. 1623-1632.

DOI Link
**2210**

BibRef

*Kim, B.[Beomjun]*,
*Huh, S.B.[Su-Bin]*,

**Discretization-Free Particle-Based Taxi Dispatch Methods With Network
Flow Decomposition**,

*ITS(23)*, No. 10, October 2022, pp. 17756-17768.

IEEE DOI
**2210**

Public transportation, Vehicles, Real-time systems,
Prediction algorithms, Urban areas, Roads, optimization
BibRef

*Wu, Z.[Zhou]*,
*Wu, J.J.[Jun-Jun]*,
*Chen, Y.[Yuguang]*,
*Liu, K.[Kai]*,
*Feng, L.[Liang]*,

**Network Rebalance and Operational Efficiency of Sharing
Transportation System: Multi-Objective Optimization and Model
Predictive Control Approaches**,

*ITS(23)*, No. 10, October 2022, pp. 17119-17129.

IEEE DOI
**2210**

Transportation, Optimization, Costs, Vehicle dynamics,
Predictive models, Mathematical models, Bicycles,
multiobjective optimization
BibRef

*Magsino, E.[Elmer]*,
*Ching, G.R.[Gerard Ryan]*,
*Espiritu, F.M.[Francis Miguel]*,
*Go, K.[Kerwin]*,

**Evaluating Stable Matching Methods and Ridesharing Techniques in
Optimizing Passenger Transportation Cost and Companionship**,

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

DOI Link
**2212**

BibRef

*He, Y.Y.[Yuan-Yuan]*,
*Ni, J.B.[Jian-Bing]*,
*Yang, L.T.[Laurence T.]*,
*Wei, W.[Wei]*,
*Deng, X.J.[Xian-Jun]*,
*Zou, D.Q.[De-Qing]*,
*Ahmed, S.H.[Syed Hassan]*,

**Differentially Private Tripartite Intelligent Matching Against
Inference Attacks in Ride-Sharing Services**,

*ITS(23)*, No. 11, November 2022, pp. 22583-22595.

IEEE DOI
**2212**

Privacy, Vehicles, Protocols, Differential privacy, Bayes methods,
Encryption, Nickel, Ride-sharing, intelligent matching, inference attacks
BibRef

*Guo, G.[Ge]*,
*Hou, Y.Q.[Yu-Qin]*,

**Rebalancing of One-Way Car-Sharing Systems Considering Elastic Demand
and Waiting Time**,

*ITS(23)*, No. 12, December 2022, pp. 23295-23310.

IEEE DOI
**2212**

Delays, Electric vehicles, Time factors, Servers, Quality of service,
Pricing, Optimization, BCMP queuing, rebalancing, charging delay, waiting time
BibRef

*Gao, J.[Jie]*,
*Wong, T.[Terrence]*,
*Selim, B.[Bassant]*,
*Wang, C.[Chun]*,

**VOMA: A Privacy-Preserving Matching Mechanism Design for Community
Ride-Sharing**,

*ITS(23)*, No. 12, December 2022, pp. 23963-23975.

IEEE DOI
**2212**

Vehicles, Privacy, Costs, Optimization, Vehicle dynamics,
Systems engineering and theory, Simulated annealing, private information
BibRef

*Samie, S.[Sepideh]*,
*Rezaee, B.[Babak]*,

**Dynamic Discrimination Pricing and Freelance Drivers to Rebalance
Mixed-Fleet Carsharing Systems**,

*ITS(23)*, No. 12, December 2022, pp. 24738-24752.

IEEE DOI
**2212**

Pricing, Vehicles, Personnel, Vehicle dynamics, Resource management,
Numerical models, Costs, Mixed-fleet Carsharing systems,
rolling horizon approach
BibRef

*Tu, P.[Ping]*,
*Yao, W.[Wei]*,
*Zhao, Z.Y.[Zhi-Yuan]*,
*Wang, P.Z.[Peng-Zhou]*,
*Wu, S.[Sheng]*,
*Fang, Z.X.[Zhi-Xiang]*,

**Interday Stability of Taxi Travel Flow in Urban Areas**,

*IJGI(11)*, No. 12, 2022, pp. xx-yy.

DOI Link
**2301**

BibRef

*Schlenther, T.[Tilmann]*,
*Leich, G.[Gregor]*,
*Maciejewski, M.[Michal]*,
*Nagel, K.[Kai]*,

**Addressing spatial service provision equity for pooled ride-hailing
services through rebalancing**,

*IET-ITS(17)*, No. 3, 2023, pp. 543-552.

DOI Link
**2303**

BibRef

*Luo, Y.C.[Yu-Chuan]*,
*Fu, S.J.[Shao-Jing]*,
*Jia, X.H.[Xiao-Hua]*,
*Xu, M.[Ming]*,
*Chen, Y.[Yingwen]*,

**P2Ride: Practical and Privacy-Preserving Ride-Matching Scheme for
Ridesharing**,

*ITS(24)*, No. 3, March 2023, pp. 3584-3593.

IEEE DOI
**2303**

Testing, Protocols, Servers, Privacy, Threat modeling, Prototypes,
Urban areas, Ridesharing, privacy-preserving, location privacy, ride-matching
BibRef

*Monteiro, C.M.[Cristiano Martins]*,
*Davis, C.A.[Clodoveu A.]*,

**Polynomial-Time Carsharing Optimization: Linear Formulation and
Large-Scale Simulations**,

*ITS(24)*, No. 4, April 2023, pp. 4428-4437.

IEEE DOI
**2304**

Companies, Costs, Optimization, Vehicles, Business, Task analysis,
Automobiles, Carsharing, fleet-sizing, polynomial-time, large-scale simulation
BibRef

*Liao, L.[Lyuchao]*,
*Li, B.[Ben]*,
*Zou, F.M.[Fu-Min]*,
*Huang, D.[Dejuan]*,

**MFGCN: A Multimodal Fusion Graph Convolutional Network for Online
Car-Hailing Demand Prediction**,

*IEEE_Int_Sys(38)*, No. 3, May 2023, pp. 21-30.

IEEE DOI
**2307**

Public transportation, Correlation,
Convolutional neural networks, Semantics, Intelligent systems,
Predictive models
BibRef

*Wang, T.[Tong]*,
*Shen, Z.X.[Zhao-Xian]*,
*Cao, Y.[Yue]*,
*Xu, X.J.[Xiu-Juan]*,
*Gong, H.[Huiwen]*,

**Taxi-Cruising Recommendation via Real-Time Information and Historical
Trajectory Data**,

*ITS(24)*, No. 8, August 2023, pp. 7898-7910.

IEEE DOI
**2308**

Public transportation, Trajectory, Real-time systems,
Global Positioning System, Vehicles, Predictive models,
recommendation system
BibRef

*He, Y.[Yuchu]*,
*Jia, Z.[Zhijuan]*,
*Hu, M.S.[Ming-Sheng]*,
*Zhang, G.[Geng]*,
*Dong, H.J.[Han-Jie]*,

**The Hybrid Trip Destination Prediction Model of Vehicles Based on
Autoencoder and High-Order Interaction Features**,

*ITS(24)*, No. 8, August 2023, pp. 8443-8451.

IEEE DOI
**2308**

Predictive models, Data models, Mathematical models,
Biological system modeling, Neural networks, Trajectory,
autoencoder
BibRef

*Zou, W.J.[Wen-Jun]*,
*Wu, L.[Lei]*,
*Chang, Y.[Yunrui]*,
*Niu, Q.[Qiang]*,

**Is Ride-Hailing an Effective Tool for Improving Transportation
Services in Suburban New Towns in China? Evidence from Wuhan Unicom
Users' Mobile Phone Usage Big Data**,

*IJGI(12)*, No. 8, 2023, pp. 299.

DOI Link
**2309**

BibRef

*Feng, X.[Xuyu]*,
*Yu, J.H.[Jian-Hua]*,
*Kan, Z.[Zihan]*,
*Zhou, L.[Lin]*,
*Tang, L.[Luliang]*,
*Yang, X.[Xue]*,

**Spatial-Temporal Analysis of Vehicle Routing Problem from Online
Car-Hailing Trajectories**,

*IJGI(12)*, No. 8, 2023, pp. 319.

DOI Link
**2309**

BibRef

IEEE DOI

Deep learning, Image recognition, Conferences, Neural networks, Supervised learning, Benchmark testing BibRef

*Wang, X.S.[Xue-Song]*,
*Liu, Y.Z.[Yi-Zhi]*,
*Liao, Z.H.[Zhu-Hua]*,
*Zhao, Y.J.[Yi-Jiang]*,

**DeepFM-based Taxi Pick-up Area Recommendation**,

*IUC20*(407-421).

Springer DOI
**2103**

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

*Tang, L.L.[Lu-Liang]*,
*Li, Q.Q.[Qing-Quan]*,
*Chang, X.M.[Xiao-Meng]*,

**The Taxis' Experience Knowledge Modeling and Route Planning**,

*VCGVA09*(xx-yy).
**0910**

floating car data (FCD); TEKM; route planning; GIS-T
BibRef

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

On-Demand Ride Systems, Car Sharing, Taxi, Analysis .

Last update:Aug 31, 2023 at 09:37:21