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城市道路交通控制概述与展望
引用本文:张立立,王力,张玲玉.城市道路交通控制概述与展望[J].科学技术与工程,2020,20(16):6322-6329.
作者姓名:张立立  王力  张玲玉
作者单位:北京联合大学城市轨道交通与物流学院,北京 100101;北方工业大学城市道路交通智能控制技术北京重点实验室,北京 100144;北方工业大学城市道路交通智能控制技术北京重点实验室,北京 100144
基金项目:科技创新服务能力建设-高精尖学科建设(市级),PXM2019_014212_000020.第一
摘    要:面对城市道路交通控制理论与技术亟待突破和当前多学科交叉研究优势凸显的情况,总结了城市交通控制发展历程和研究现状,总结并谈论了存在的问题和未来的发展。首先回顾了中国城市道路交通控制的发展阶段;其次,围绕道路交通控制概述了交通信号控制、交通需求辨识和交通控制仿真的国内外研究情况;最后,针对传统交通控制存在的问题进行了讨论并立足未来车路协同、自动驾驶、人工智能等新理论与技术的演进总结了交通控制领域的研究重点和应着力解决的关键问题。

关 键 词:交通控制  交通需求  交通仿真  模型驱动  数据驱动  人工智能  信息物理系统
收稿时间:2019/6/22 0:00:00
修稿时间:2020/6/15 0:00:00

Urban Road Traffic Control: Overview and Prospect
Zhang Lili,Wang Li,Zhang Lingyu.Urban Road Traffic Control: Overview and Prospect[J].Science Technology and Engineering,2020,20(16):6322-6329.
Authors:Zhang Lili  Wang Li  Zhang Lingyu
Institution:North China University of Tehcnology
Abstract:Faced with the situation that the theory and technology of urban road traffic control need to be broken through urgently and the advantages of multidisciplinary cross-research are highlighted, the development history and research status of urban traffic control are summarized, and the existing problems and future development are summarized and discussed. Firstly, the development stage of urban road traffic control in China is reviewed. Secondly, the domestic and foreign research situation of traffic signal control, traffic demand identification and traffic control simulation is summarized around road traffic control. Finally, the existing problems of traditional traffic control are discussed, and the evolution of new theories and technologies such as vehicle-road coordination, automatic driving and artificial intelligence in the future is summarized. The research emphasis and key problems in the field of traffic control are concluded.
Keywords:traffic  control  traffic  demand  traffic  simulation  model  driven  data  driven  artificial  intelligence  cyber  physical system
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