中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2020, Vol. 39 ›› Issue (01): 1-7.DOI: 10.3969/j.issn.16740696.2020.01.01

• 交通+大数据人工智能 •    下一篇

基于场景驱动的交通信号控制一体化仿真平台设计

张立立,王力   

  1. (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)
  • 收稿日期:2018-04-16 修回日期:2019-11-27 出版日期:2020-01-12 发布日期:2020-01-12
  • 作者简介:张立立(1988—),男,天津静海人,博士研究生,主要从事人工智能与交通控制方面的研究。Email:zllphd2012@163.com。 通信作者:王力(1978—),男,安徽肥东人,教授,博士,主要从事智能交通控制方面的研究。Email:liwang@ncut.edu.cn。
  • 基金资助:
    北京市长城学者培养计划项目(CIT&TCD20190304);国家重点研发计划项目(2017YFC0821102,2017YFC0822504)

Design of Integrated Simulation Platform for Traffic Signal Control Based on Scene Driven

ZHANG Lili, WANG Li   

  1. (Beijing Key Laboratory of Urban Road Traffic Intelligent Control Technology, North China University of Technology, Beijing 100044, China)
  • Received:2018-04-16 Revised:2019-11-27 Online:2020-01-12 Published:2020-01-12

摘要: 针对传统城市道路交通信号控制仿真存在的仿真规模小、速度慢、信号策略难于实现等问题和未来多场景交叠的交通信号控制仿真所提出的大规模并行实时演化计算需求的矛盾,笔者通过重构开源交通仿真引擎和信号控制设备软硬件框架,设计和开发了基于场景驱动的交通信号控制一体化仿真平台,通过设计的标准化API接口可模拟实现多场景驱动的城市道路交通控制仿真需求。以顺义区和潍坊市路网为基础,通过不同规模车队的仿真测试了一体化仿真平台的性能。研究结果表明:仿真平台的路网仿真规模大、实时性能良好,性能稳定、运行可靠,可用于需要大规模实时性仿真的城市交通信号控制。

关键词: 交通工程, 场景驱动, 交通仿真引擎, 交通控制, 大规模并行演化计算, 一体化仿真

Abstract: In view of the problems of small scale, slow speed and difficult to realize signal strategy in traditional urban road traffic signal control simulation, and the contradiction of largescale parallel realtime evolutionary computing requirements proposed by the multiscene overlapping traffic signal control simulation in the future, the integrated simulation platform of traffic signal control based on scenedriven was designed and developed, by reconstructing the open source traffic simulation engine and the hardware and software framework of signal control equipment. Through the design of a standardized API interface, the simulation requirements of urban road traffic control driven by multiscenes could be realized. Based on the road network of Shunyi District and Weifang City, the performance of the integrated simulation platform was tested by the simulation of different scales of the fleet. The research results show that the road network simulation of the proposed simulation platform is large in scale, good in realtime performance, stable in performance and reliable in operation, which can be used for urban traffic signal control requiring largescale realtime simulation.

Key words: traffic engineering, scene driven, traffic simulation engine, traffic control, massively parallel evolutionary computation, integrated simulation

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