The impact of ride-hailing in city transportation  

作　　者：Costas COURCOUBETIS Yunpeng LI Shuqin GAO Qisheng HUANG 

机构地区：[1]School of Data Science,The Chinese University of Hong Kong,Shenzhen,Shenzhen 518172,China [2]School of Mechanical Engineering and Automation,Harbin Institute of Technology,Shenzhen,Shenzhen 518055,China

出　　处：《Frontiers of Engineering Management》2024年第4期759-765,共7页工程管理前沿（英文版）

基　　金：supported in part by the National Natural Science Foundation of China(Grant No.72271068);in part by the Shenzhen Science and Technology Program(Grant No.KCXST20221021111404010).

摘　　要：This paper investigates the impact of ride-hailing services,particularly the integration of autonomous vehicles(AVs),on urban transportation systems.The paper discusses the challenges faced by ride-hailing platforms in managing a fleet of both AVs and conventional vehicles(CVs)within the spatial network of a city.It examines the approaches and methods used to manage demand allocation for AVs and CVs,considering the strategic behavior of human drivers and considerations for possible regulations.Using mean-field game theory,this paper proposes efficient strategies for managing fleet operations along with those of traffic optimization and service efficiency.The analysis highlights the complexities of integrating AVs into existing transportation systems and advocates for the development of robust theoretical traffic models for regulatory decisions and improved urban mobility.

关 键 词：ride-hailing autonomous vehicles conventional vehicles strategic behavior mean-field game 

分 类 号：U491[交通运输工程—交通运输规划与管理]