自动驾驶出租车调度系统研究综述  

Comprehensive Review of Autonomous Taxi Dispatching Systems

作　　者：曾伟良 吴淼森 孙为军[1] 谢胜利[1] ZENG Wei-liang;WU Miao-sen;SUN Wei-jun;XIE Sheng-li(School of Automation,Guangdong University of Technology,Guangzhou 510006,China)

机构地区：[1]广东工业大学自动化学院,广州510006

出　　处：《计算机科学》2020年第5期181-189,共9页Computer Science

基　　金：国家自然科学基金资助项目(61803100,61703112,61773128);广东省自然科学基金资助项目(2014A030308009);广东省科技计划项目(2013B091300009,2014B090907010,2015B010131014,2016B030308001,2017B010125002,2019B010118001,2019B010121001)。

摘　　要：人工智能和大数据科学的发展带来了新一代产业革命。基于人工智能、大数据、车联网等技术的自动驾驶出租车调度系统将成为下一代交通系统的重要组成部分。文中从车联网环境下的自动驾驶调度系统的数学建模问题和系统构建两个方面对现有的文献进行了梳理和讨论。针对乘客出行需求的动态不确定性的共享问题,着重讨论了自动驾驶出租车在不同路径共享模式下的路径规划,以及共享合乘定价和智能调度系统构建的关键技术。最后,总结了自动驾驶出租车在解决交通拥堵和减少资源浪费方面的优势,并指出了自动驾驶出租车系统的技术难点和发展趋势。The development of artificial intelligence and big data science has brought about a new generation of industrial revolution.Autonomous taxi dispatching systems based on artificial intelligence,big data,and connected vehicle technology will definitely be one of the most important components of the next generation transportation system.The existing literatures are reviewed and discussed through two aspects of scheduling modeling and system construction problem of the autonomous taxi dispatching system.Particularly,the critical dispatching problems on the sharing modes,sharable routing planning,and pricing strategy for a dynamic and sharable dispatching scheme are discussed.Finally,the advantages of autonomous taxis such as alleviating traffic congestion and reducing resource waste are summarized.The technical difficulties and development prospects of the future auto-nomous taxi system are pointed out.

关 键 词：自动驾驶 大数据 调度系统 动态共享 路径规划 合乘定价 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]