Journal of Computer Applications ›› 2018, Vol. 38 ›› Issue (10): 3025-3029.DOI: 10.11772/j.issn.1001-9081.2018030640

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Trigger probability model of transit signal priority strategies based on signal timing

HUANG Hainan1,2, LI Xiaofeng3, LIAN Peikun2, RONG Jian1   

  1. 1. College of Metropolitan Transportation, Beijing University of Technology, Beijing 100022, China;
    2. College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou Fujian 350002, China;
    3. Department of Civil Engineering and Engineering Mechanics, The University of Arizona, Tucson Arizona 85719, USA
  • Received:2018-03-28 Revised:2018-06-06 Online:2018-10-10 Published:2018-10-13
  • Supported by:
    This work is partially supported by the National Natural Science Foundation of China (51578028).


黄海南1,2, 李晓峰3, 连培昆2, 荣建1   

  1. 1. 北京工业大学 城市交通学院, 北京 100022;
    2. 福建农林大学 交通与土木工程学院, 福州 350002;
    3. 亚利桑那大学 土木工程与工程力学系, 亚利桑那州 图森 85719, 美国
  • 通讯作者: 黄海南
  • 作者简介:黄海南(1983-),男,福建龙海人,讲师,博士研究生,主要研究方向:公共交通规划及优化;李晓峰(1990-),男,河北石家庄人,博士研究生,主要研究方向:城市交通规划方法与优化;连培昆(1985-),男,福建惠安人,讲师,博士,主要研究方向:交通管理与控制;荣建(1972-),男,四川乐山人,教授,博士,主要研究方向:道路通行能力、交通仿真。
  • 基金资助:

Abstract: Aiming at the problem that the existing signal control logic cannot respond to the bus cumulative number and the sensitivity of control parameters is poor, a bus priority strategy trigger probability model was constructed to detect and analyze the methods for improving trigger accuracy. Based on the Siemens 2070 signal controller, the triggering theory of Transit Signal Priority (TSP) was analyzed, and the trigger probability models were constructed for green-extension strategy and early-green strategy. Taking the actual intersection as an example, the trigger probability results of different signal timing plans were calculated and compared by simulation, the trigger characteristic of TSP strategies was studied and the improvement was discussed. The research shows that the trigger probability of green-extension strategy is so far below the early-green strategy; the trigger probability of green-extension is inversely proportional to the mini-green and the max-green time, while the trigger probability of early-green strategy is mainly related to the number of buses which applying for priority in the non-favored signal phase; the trigger probability of green-extension strategy can be improved by optimizing the mini-green, max-green time and increasing the bus number applying for priority; the trigger probability of early-green strategy can be improved by optimizing the original signal timing scheme then adding TSP subsequently.

Key words: traffic control, Transit Signal Priority (TSP), trigger probability model, signal timing, green-extension strategy, early-green strategy

摘要: 针对现有信号机控制逻辑无法响应公交车辆累积数、控制参数敏感性较低等问题,构建公交优先策略触发概率模型用以检测并分析提高触发精度的方法。首先,依托西门子2070信号机,分析其公交优先策略触发原理,进而构建了绿灯延长策略和红灯早断策略的触发概率模型。然后,以实际交叉口为例,通过硬件在环仿真计算并对比不同信号配时方案的触发概率,探索了公交优先策略触发概率的优化方法。研究结果表明:绿灯延长策略的触发概率远低于红灯早断策略;绿灯延长策略的触发概率与绿灯时间阈值成反比,红灯早断策略的触发概率主要与非优先相位申请优先的公交数量相关;可通过优化最小和最大绿灯时间,及增加申请优先的公交数量提高绿灯延长策略的触发概率;可通过先优化固定信号配时再进行公交优先信号设置等措施提高红灯早断策略的触发概率。

关键词: 交通控制, 公交信号优先, 触发概率模型, 信号配时, 绿灯延长策略, 红灯早断策略

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