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计算机工程 ›› 2011, Vol. 37 ›› Issue (6): 27-29.doi: 10.3969/j.issn.1000-3428.2011.06.010

• 博士论文 • 上一篇    下一篇

单点定时信号配时的多目标优化模型

张萌萌1,2，贾 磊1，邹 难1   

  1. (1. 山东大学控制科学与工程学院，济南 250061；2. 山东交通学院交通与物流工程系，济南 250023)
  • 出版日期:2011-03-20 发布日期:2011-03-29
  • 作者简介:张萌萌(1981－)，女，讲师、博士研究生，主研方向：智能交通；贾 磊、邹 难，教授、博士
  • 基金项目:
    国家自然科学基金资助项目(60674062)；教育部高等学校博士学科点专项科研基金资助项目(20060422054)；山东省自然科学基金资助项目(ZR2009GM032)；山东大学自主创新基金资助项目(2009TS046)

Multi-objective Optimization Model for Signal Timing of Signalized Intersection

ZHANG Meng-meng 1,2, JIA Lei 1, ZOU Nan 1   

  1. (1. School of Control Science and Engineering, Shandong University, Jinan 250061, China; 2. Department of Transportation and Logistics Engineering, Shandong Jiaotong University, Jinan 250023, China)
  • Online:2011-03-20 Published:2011-03-29

PDF

1006

被引次数

16 | 1

摘要： 为提高定时信号控制通行的效率与鲁棒性，提出一种多目标优化模型。将目标函数分为2层：第1层选择平均延误、停车次数、通行能力指标以优化交叉口通行效率；第2层选择车辆延误标准差以提高信号控制稳定性。对不同交通状态的交叉口进行分析，建立流量波动幅度与目标权重的关系，并采用遗传算法求解。结果表明，该模型能有效降低车辆的平均延误，提高信号配时的鲁棒性。

关键词: 多目标优化模型, 鲁棒性, 子目标权重, 遗传算法, 信号配时

Abstract: To improve efficiency and robustness of fixed time signal control, the paper establishes an adjustable multi-objective optimization model to optimize signal timing. The objective function consists of two sub-targets, of which the first sub-target including three indicators such as average delay, number of stops, traffic capacity is to optimize efficiency, and the second sub-target is to optimize stability of signal control by minimizing standard deviation of vehicle delay. Based on simulation and analysis of intersections under various traffic conditions, the study establishes the relationship between sub-target weights and flow fluctuating ranges. This paper uses genetic algorithm to solve it. Results show that the multi-objective optimization model reduces the average delay of vehicles and controls maximum delay effectively.

Key words: multi-objective optimization model, robustness, weights of sub-targets, Genetic Algorithm(GA), signal timing

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