A mean-field Markov decision process model for spatial-temporal subsidies in ride-sourcing markets

Integrated reward scheme and surge pricing in a ridesourcing market

(2020) Hai Yang et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Dispatch of autonomous vehicles for taxi services: A deep reinforcement learning approach

(2020) Chao Mao et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Pricing and equilibrium in on-demand ride-pooling markets

(2020) Jintao Ke et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Reward design for driver repositioning using multi-agent reinforcement learning

(2020) Zhenyu Shou et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Capturing the interaction between travel time reliability and route choice behavior based on the generalized Bayesian traffic model

(2020) Zheng Zhu et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network

(2020) Jintao Ke et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A Markov decision process approach to vacant taxi routing with e-hailing

(2019) Xinlian Yu et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Model and analysis of labor supply for ride-sharing platforms in the presence of sample self-selection and endogeneity

(2019) Hao Sun et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Empty-Car Routing in Ridesharing Systems

(2019) Anton Braverman et al.   OPERATIONS RESEARCH

Ridesourcing systems: A framework and review

(2019) Hai Wang et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

A generalized Bayesian traffic model

(2019) Zheng Zhu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Optimizing matching time interval and matching radius in on-demand ride-sourcing markets

(2019) Hai Yang et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Optimal passenger-seeking policies on E-hailing platforms using Markov decision process and imitation learning

(2019) Zhenyu Shou et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Optimize taxi driving strategies based on reinforcement learning

(2018) Yong Gao et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Coordinating Supply and Demand on an On-Demand Service Platform with Impatient Customers

(2018) Jiaru Bai et al.   M&SOM-Manufacturing & Service Operations Management

Geometric matching and spatial pricing in ride-sourcing markets

(2018) Liteng Zha et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

On-Demand Service Platforms

(2018) Terry A. Taylor   M&SOM-Manufacturing & Service Operations Management

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

(2018) Jintao Ke et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

The Role of Surge Pricing on a Service Platform with Self-Scheduling Capacity

(2017) Gérard P. Cachon et al.   M&SOM-Manufacturing & Service Operations Management

Optimal assignment and incentive design in the taxi group ride problem

(2017) Xinwu Qian et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Optimal parking provision for ride-sourcing services

(2017) Zhengtian Xu et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

(2017) Jintao Ke et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Economic analysis of ride-sourcing markets

(2016) Liteng Zha et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

An effective taxi recommender system based on a spatio-temporal factor analysis model

(2015) Ren-Hung Hwang et al.   INFORMATION SCIENCES

Mean Field Games Models—A Brief Survey

(2013) Diogo A. Gomes et al.   Dynamic Games and Applications