Optimizing matching time intervals for ride-hailing services using reinforcement learning

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

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

To Pool or Not to Pool: Queueing Design for Large-Scale Service Systems

(2020) Ping Cao et al.   OPERATIONS RESEARCH

Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework

(2020) Jintao Ke et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

On the supply curve of ride-hailing systems

(2019) Zhengtian Xu et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Dynamic pricing and matching in ride‐hailing platforms

(2019) Chiwei Yan et al.   NAVAL RESEARCH LOGISTICS

Ridesourcing systems: A framework and review

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

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

(2019) Abubakr O. Al-Abbasi et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

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

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

On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment

(2017) Javier Alonso-Mora et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Mining factors affecting taxi drivers’ incomes using GPS trajectories

(2017) Guoyang Qin 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