基于交叉口条件评价的引导交通系统车头时距控制研究

IF 2.7 4区工程技术 Q2 TRANSPORTATION SCIENCE & TECHNOLOGY

Transportation Safety and Environment Pub Date : 2022-12-22 DOI:10.1093/tse/tdac068

Xiao Yu, Yuan Cao, Yongkui Sun

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引用次数: 0

摘要

为了保证导向运输系统区间跟踪运行的安全性和效率，本文提出了一种基于交叉口条件的区间跟踪安全车头时距控制方法。考虑到信号相位的差异，基于模糊综合评判方法FAGT，建立了道路状况评价模型。在人工势场方法的基础上，提出了时变混合人工势场（TH-APF）方法，并设计了跟踪车头时距控制算法，实现了对引导运输车跟踪车头时长的动态控制。仿真结果验证了交叉口路况评估模型的有效性和适用性，跟踪车头时距可以保持在120s左右。引导运输车辆的跟踪车头时距控制算法能够响应路况，避免人工势场法的局部最优，从而提高运营效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research on headway control of guided transport system based on intersections conditions evaluation

In order to ensure the safety and efficiency of section tracking operation of guided transport system, a safety headway control method of section tracking based on intersection conditions is proposed in this paper. Considering the difference of signal phase, the evaluation model of road conditions was established based on a fuzzy comprehensive evaluation method FAGT. Based on the artificial potential field method, the time-varying hybrid artificial potential field (TH-APF) method was proposed, and the tracking headway control algorithm was designed to realize the dynamic control of the tracking headway of the guide transport vehicle. The simulation results verified the effectiveness and applicability of the evaluation model of intersection road conditions, the tracking headway can be maintained at about 120s. The tracking headway control algorithm of guided transport vehicles can respond to the road conditions and avoid the local optimum of the artificial potential field method, thus improving the operating efficiency.

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来源期刊

Transportation Safety and Environment TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

3.90

自引率

13.60%

发文量

审稿时长

10 weeks