东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2013, Vol. 34 ›› Issue (9): 1227-1231.DOI: -

• 信息与控制 • 上一篇    下一篇

城市交通干道上被动式公交信号优先控制

林永杰1，杨险峰2，邹难1，贾磊1   

  1. (1.山东大学控制科学与工程学院，山东济南250061；2.马里兰大学土木与环境工程学院，马里兰州帕克20742)
  • 收稿日期:2013-03-04 修回日期:2013-03-04 出版日期:2013-09-15 发布日期:2013-04-22
  • 通讯作者: 林永杰
  • 作者简介:林永杰(1987-)，男，山东潍坊人，山东大学博士研究生；邹难(1976-)，男，北京人，山东大学教授，博士生导师；贾磊(1959-)，男，山东济南人，山东大学教授，博士生导师.
  • 基金资助:
    国家自然科学青年基金资助项目(51108248)；山东省自然科学基金资助项目(ZR2011GQ002).

New Passive Transit Signal Priority Control Strategy for the Bus Vehicles at Urban Arteries

LIN Yongjie1， YANG Xianfeng2， ZOU Nan1， JIA Lei1   

  1. 1. School of Control Science and Engineering， Shandong University， Jinan 250061， China; 2. Department of Civil and Environmental Engineering， University of Maryland， College Park 20742， USA.
  • Received:2013-03-04 Revised:2013-03-04 Online:2013-09-15 Published:2013-04-22
  • Contact: ZOU Nan
  • About author:-
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摘要： 基于传统绿波带控制，提出了被动式公交绿波带协调控制，以降低多数公交乘客在干道上的延误.首先，改进了传统绿波带的设计方法，考虑了初始排队和公交站台对绿波带的影响；其次，基于公交车辆停靠站影响，提出了公交绿波带设计.最后，统筹公交车和社会车辆的综合效益，建立了传统绿波带和公交绿波带的综合控制策略，以降低整个干道上的总人均延误.以济南市经十路为例，利用VISSIM微观仿真进行模型验证，结果证明:相比于传统绿波带，改进的绿波带能够降低社会车辆延误，而新建立的公交绿波带和综合绿波带均能显著降低公交车辆在干道上的延误和停车次数，并减少整个网络中社会车辆和公交车辆的总人均延误.

关键词: 公交信号优先控制, 公交绿波带, 综合绿波带, 公交停站时间, 初始排队

Abstract: A progression signal plan along multiintersections is required for bus vehicles. However， for the traditional progression approach which concentrates on passenger cars， buses may not catch up the preset green band due to bus dwelling time at stops. For addressing this issue， a passive transit signal control strategy was developed. Firstly， the traditional multiband control method was improved for arterial signal control by considering the initial queue and bus stops. And then， a multibusband control approach was proposed for arterial signal control optimization based on the characteristics of bus operations. Finally， an integrated model consisting of multiband and multibusband was developed to trade off the benefits of passengercar drivers and bus passengers. Taking the Jingshi Road in Jinan as an example， the microsimulation software VISSIM was employed as an unbiased tool for model evaluation and comparisons. Simulation results reveal that the proposed busband control and integrated model can significantly reduce the stop frequency of buses and the average delay per person at the arterial， compared with the traditional multiband model.

Key words: transit signal priority control, multibusband, integrated multibusband, bus dwelling time, initial queue

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