基于交通流到达率预测的交叉口自适应控制研究

doi:10.3969/j.issn.1674-0696.2022.05.06

摘要/Abstract

摘要： 针对城市道路十字交叉口感应控制效益较低的问题，以城市道路十字交叉口的经典四相位控制为研究对象，提出了基于上游交叉口信号配时参数的交通流到达率预测计算方法——自适应控制方法；根据交通流到达率λ、路段车速离散系数F建立了交通信号配时参数的优化模型；以合肥市某关键交叉口为例，采用自适应控制方法进行交通仿真分析，并与传统感应控制方法进行了对比。结果表明：交叉口最大排队长度、车均停车次数、总延误和总油耗等指标，自适应控制方法计算的结果比感应控制方法计算的结果分别减少了21.7%、9.0%、12.6%和9.6%，有效地提高了交叉口通行效率。

关键词: 交通工程；城市道路交叉口；自适应控制方法；交通流到达率

Abstract: Aiming at the problem of low efficiency of induction control at urban road intersections, taking the classic four-phase control of urban road intersections as the research object, a self-adaptive control method to predict and calculate vehicle arrival rate based on the signal timing parameters of upstream intersection was proposed. According to the parameters such as vehicle arrival rate λ and vehicle speed dispersion coefficient F, an optimization model of traffic signal timing parameters was established. Taking a key intersection in Hefei city as an example, the proposed self-adaptive control method was used for traffic simulation analysis, and compared with the traditional induction control method. The results show that the maximum queue length, the average number of stops, the total delay and the total fuel consumption calculated by the self-adaptive control method are 21.7%, 9.0%, 12.6% and 9.6% lower than those calculated by the induction control method respectively, which effectively improves the traffic efficiency of intersection.

Key words: traffic engineering; urban road intersection; self-adaptive control method; traffic flow arrival rate

中图分类号:

U491.4

张卫华，李军，丁恒，解立鹏. 基于交通流到达率预测的交叉口自适应控制研究[J]. 重庆交通大学学报（自然科学版）, 2022, 41(05): 35-42.

ZHANG Weihua, LI Jun, DING Heng, XIE Lipeng. Research on Intersection Self-adaptive Control Based on Traffic Flow Arrival Rate Prediction[J]. Journal of Chongqing Jiaotong University(Natural Science), 2022, 41(05): 35-42.

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