城市智慧公交研究综述与展望

doi:10.16097/j.cnki.1009-6744.2022.02.009

交通运输系统工程与信息 ›› 2022, Vol. 22 ›› Issue (2): 91-108.DOI: 10.16097/j.cnki.1009-6744.2022.02.009

所属专题： 2022年英文专栏

• 智能交通系统与信息技术 • 上一篇下一篇

城市智慧公交研究综述与展望

徐猛^{* 1}，刘涛²，钟绍鹏³，姜宇⁴

1. 北京交通大学，轨道交通控制与安全国家重点实验室，北京 100044；2. 西南交通大学，交通运输与物流学院，综合交通大数据应用技术国家工程实验室，成都 611756；3. 大连理工大学，交通运输学院，辽宁大连 116024； 4. 丹麦科技大学，管理学院，Kgs. 2800，灵比，丹麦

收稿日期:2021-12-04 修回日期:2022-01-21 接受日期:2022-02-11 出版日期:2022-04-25 发布日期:2022-04-23
作者简介:徐猛(1976- )，男，湖北松滋人，教授，博士
基金资助:
国家自然科学基金

Urban Smart Public Transport Studies: A Review and Prospect

XU Meng^{* 1} , LIU Tao² , ZHONG Shao-peng³ , JIANG Yu⁴

1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China; 2. National Engineering Laboratory of Integrated Transportation Big Data Application Technology, School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China; 3. School of Transportation & Logistics, Dalian University of Technology, Dalian 116024, Liaoning, China; 4. DTU Management, Technical University of Denmark, Kgs. 2800, Lyngby, Denmark

Received:2021-12-04 Revised:2022-01-21 Accepted:2022-02-11 Online:2022-04-25 Published:2022-04-23
Supported by:
National Natural Science Foundation of China(72091513，71971038，61903311)

摘要/Abstract

摘要： 以当前城市智慧公交发展为背景，本文从我国城市智慧公交当前发展现状出发，围绕智慧公交客流特征分析、智慧公交运营研究、智慧公交网络设计与优化、智慧公交服务评估等4个方面对智慧公交的研究现状进行了综述并指出现有研究的重点。在此基础上，对现有研究进一步从智慧公交客流特征分析、智慧公交运营、智慧公交网络设计与优化，以及智慧公共交通服务评估等4个方面进行了评述，并指出每个方面存在的不足。进一步，本文从乘客特征智能识别与预测、复杂场景下的智慧公交运营、智慧公交网络设计与优化，以及智慧公交服务评估等4个方面对智慧公交的未来发展趋势进行研究展望，并分别提出了代表性的研究问题。通过总结当前智慧公交的研究不足以及研究展望，本文进一步指出智慧公交的创新性研究和发展，亟需从如下4个方面展开：挖掘乘客全出行链信息，提供一站式智慧公交出行服务；土地利用与交通整合视角下集成智慧公交基础设施布局优化和公交运营效率提升；基于智慧公交多层级发展需求，构建面向政府、企业、社会用户的立体化公交运营系统评估体系；构建智慧公交一站式出行服务平台。结合当前智慧公交出行的日渐兴起，本文总结了智慧公交当前的研究现状，指出了当前智慧公交研究存在的不足，并展望了智慧公交发展的关键科学问题。研究认为：随着大数据、云计算、自动驾驶、智能网联与新能源汽车等新兴技术和颠覆性技术在城市交通领域的集成应用，对提供多模式智慧公交服务和促进城市可持续发展提供了新思路与新机遇。但是，单凭新技术无法提升智慧公交服务水平和促进城市可持续发展，还需交通系统和管理水平的提升，当前亟需围绕关键问题开展研究。本文同时强调当前研究需进一步加强多学科交叉，突出产学研相结合，为我国智慧公交高质量发展提供强有力的科学支撑。

关键词: 智能交通, 智慧公交, 公交运营, 公交客流, 公交线网设计, 公交评估

Abstract: Based on the recent development of urban smart public transport and its status in China, this study systematically reviews four crucial research areas, including the analysis of passenger flow characteristics, operations management, network design and optimization, and system evaluation. The limitations of existing researches and future research directions in the four areas are discussed. Correspondingly, this study examines the emerging trends of urbansmart public transport from four aspects: intelligent recognition and prediction of passenger flow characteristics, urban smart public transport operations in complex scenarios, urban smart public transport network design and optimization, and urban smart public transport service evaluation. The primary research questions associated with each aspect are proposed. Particularly, this paper identifies the following four urgent research topics, including (i) mining passengers’ complete travel chain information and providing integrated urban smart public transport travel services; (ii) integrating and optimizing public transport infrastructure layout and operational efficiency from the perspective of land use and transportation integration; (iii) building a three-dimensional bus operation and evaluation system from the perspectives of the government, enterprises, and users, based on their multi-level development needs; and (iv) building an integrated urban smart public transport travel service platform. Furthermore, in viewing the current development of urban smart public transport, this paper summarizes its current status and points out the shortcomings of existing research and critical scientific issues. It is revealed that integrated applications of emerging and disruptive technologies, such as big data, cloud computing, autonomous driving, intelligent, connected, and new energy vehicles, offered new opportunities and challenges in providing multimodal urban smart transport services and promoting sustainable urban development. However, new technologies will not spontaneously improve public transport services and accelerate sustainable urban development. Finally, this study emphasizes that future research needs to strengthen the multi-disciplinary intersection, highlight the combination of industry, university, and research, and provide strong scientific support for the highquality development of urban smart urban public transport in China.

Key words: intelligent transportation, smart transit, bus operation, passenger flow, transit network design, transit assessment

中图分类号:

U491.1

徐猛, 刘涛, 钟绍鹏, 姜宇. 城市智慧公交研究综述与展望[J]. 交通运输系统工程与信息, 2022, 22(2): 91-108.

XU Meng , LIU Tao , ZHONG Shao-peng , JIANG Yu. Urban Smart Public Transport Studies: A Review and Prospect[J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(2): 91-108.

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城市智慧公交研究综述与展望

Urban Smart Public Transport Studies: A Review and Prospect

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