Saturated arterial coordinate control strategy optimization considering macroscopic fundamental diagram

Q2 Engineering Archives of Transport Pub Date : 2022-06-30 DOI:10.5604/01.3001.0015.9253
Xuanhua Lin, Xiaohui Lin, Kelian Chen
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Abstract

MFD is widely used in traffic state evaluation because of its description of the macro level of urban road net-work. Aiming at the control strategy optimization problem of urban arterial road network under saturated traffic flow state, this study analyzes the MFD characteristics of a typical three-segment "ascending-stable-descending segment" and its advantages in characterizing the macroscopic operation efficiency of the road network, a arte-rial coordination control strategy considering MFD is proposed. According to the characteristics of MFD, it is proposed that the slope of the ascending segment and the capacity of the road network represent the operating efficiency of the free flow and saturated flow of the road network respectively. The traffic flow and density data of road segment are obtained by the road detector through Vissim simulation software. Aiming at the problem that the MFD is too discrete due to unreasonable control strategy or traffic condition, and in order to extract the MFD optimization target indicators, it is proposed to extract the key boundary points of the MFD by the “tic-tac-toe” method and divide the MFD state by Gaussian mixture clustering. The genetic algorithm integrates the multi-objective particle swarm algorithm as the solution algorithm, and the simulation iterative process is com-pleted through Python programming and the com interface of Vissim software. In order to verify the validity of the model and algorithm, the actual three-intersections arterial road network is used for verification, and the model in this study is compared with the optimization model without considering MFD, the model solved by traditional algebraic method, and the optimization model solved by typical multi-objective particle swarm. Re-sults show that the model in this research performs well in efficiency indicators such as total delay, average delay, and queue coefficient. At the same time, the MFD form has highest stability, the control effect is the best in the saturated state. The solution algorithm GA-MOPSO also has a better solution effect.
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考虑宏观基本图的饱和动脉坐标控制策略优化
MFD由于描述了城市路网的宏观水平,在交通状态评价中得到了广泛的应用。针对饱和交通流状态下城市主干道网络的控制策略优化问题,分析了典型三段“上升-稳定-下降段”的MFD特性及其在表征道路网络宏观运行效率方面的优势,提出了一种考虑MFD的综合协调控制策略。根据MFD的特点,提出上升段的坡度和路网的通行能力分别代表路网自由流和饱和流的运行效率。道路检测器通过Vissim仿真软件获得路段的交通流量和密度数据。针对MFD由于控制策略或交通状况不合理而过于离散的问题,为了提取MFD优化目标指标,提出了采用“井字法”提取MFD的关键边界点,并采用高斯混合聚类法对MFD状态进行划分。遗传算法集成了多目标粒子群算法作为求解算法,通过Python编程和Vissim软件的com接口完成了仿真迭代过程。为了验证模型和算法的有效性,使用实际的三个交叉口主干道网络进行验证,并将本研究中的模型与不考虑MFD的优化模型、传统代数方法求解的模型和典型多目标粒子群求解的优化模型进行了比较。结果表明,该模型在总时延、平均时延和排队系数等效率指标上表现良好。同时,MFD形式具有最高的稳定性,在饱和状态下控制效果最好。求解算法GA-MOPSO也有较好的求解效果。
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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来源期刊
Archives of Transport
Archives of Transport Engineering-Automotive Engineering
CiteScore
2.50
自引率
0.00%
发文量
26
审稿时长
24 weeks
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