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IEEE DOI
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IEEE DOI
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IEEE DOI
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*Sardis Award, Research*. Autoregressive integrated moving average (ARIMA)
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automobiles
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bicycles
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**A Genetic-Algorithm-Based Approach to Solve Carpool Service Problems
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IEEE DOI
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Biological cells
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**Services-Oriented Computing Using the Compact Genetic Algorithm for
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IEEE DOI
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genetic algorithms
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DOI Link
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electric vehicles
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**Comparing Optimal Relocation Operations With Simulated Relocation
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*ITS(15)*, No. 4, August 2014, pp. 1667-1675.

IEEE DOI
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mathematical programming
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**Intelligent Carpool Routing for Urban Ridesharing by Mining GPS
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IEEE DOI
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Global Positioning System
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**A Partition-Based Match Making Algorithm for Dynamic Ridesharing**,

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IEEE DOI
**1511**

intelligent transportation systems
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**A Discounted Trade Reduction Mechanism for Dynamic Ridesharing
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*ITS(17)*, No. 6, June 2016, pp. 1586-1595.

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Companies
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**Analysis of Taxi Drivers' Behaviors Within a Battle Between Two Taxi
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*ITS(17)*, No. 1, January 2016, pp. 296-300.

IEEE DOI
**1601**

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

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IEEE DOI
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Big data
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**Assessing Patient bypass Behavior Using Taxi Trip Origin-Destination
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DOI Link
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*IET-ITS(10)*, No. 4, 2016, pp. 244-250.

DOI Link
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Global Positioning System
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**Uncovering Distribution Patterns of High Performance Taxis from Big
Trace Data**,

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

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

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IEEE DOI
**1506**

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

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

IEEE DOI
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Cities and towns
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**From taxi GPS traces to social and community dynamics: A survey**,

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

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

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

DOI Link
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**Revealing Recurrent Urban Congestion Evolution Patterns with Taxi
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*IJGI(7)*, No. 4, 2018, pp. xx-yy.

DOI Link
**1805**

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**Using Spatial Semantics and Interactions to Identify Urban Functional
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*IJGI(7)*, No. 4, 2018, pp. xx-yy.

DOI Link
**1805**

Using taxi origin/destination (O/D) flows.
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*Fang, Z.X.[Zhi-Xiang]*,
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**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
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**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
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*Xu, J.*,
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**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
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*He, Z.*,
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**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
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*Chen, C.*,
*Jiao, S.*,
*Zhang, S.*,
*Liu, W.*,
*Feng, L.*,
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**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
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*Amar, H.M.*,
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**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
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*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**

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*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**

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*Iacobellis, G.*,
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**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
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*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
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*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
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*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
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*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
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*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
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*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**

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*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**

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*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**

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*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
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*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
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*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**

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*Zhao, X.F.[Xiao-Fei]*,
*Hu, C.[Caiyi]*,
*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**

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*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
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*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**

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*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.
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*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**

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*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**

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*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
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*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

*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.[Jianqin]*,
*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

DOI Link

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 .

Last update:Jan 24, 2021 at 20:22:03