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A two-way progression model for arterial signal coordination considering side-street turning traffic

机译:考虑侧街转折交通的动脉信号协调双向进展模型

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摘要

An effective progression model should explicitly consider the turning traffic from side streets especially when the traffic volume is relatively high and the spacing between arterial intersections is short. In this paper, a new?two-way bandwidth maximization approach is proposed considering left-turning traffic. The basic framework is a modified MULTIBAND model, which redefines the progression lines to more accurately consider the queueing process. We first present a bandwidth maximization model LT1, which maximizes progression bands for arterial through traffic. The features of different queue profiles are captured?in the queue clearance time. Moreover, we extend the LT1 model to consider progression bands for the side-street left-turning traffic, referred to as LT2. For the lead left-turn pattern, a minimum bandwidth constraint is introduced based on an approximate delay model. Numerical results show that the proposed model can effectively reduce the overall network average delay and number of stops per vehicle.
机译:有效的进展模型应该明确地考虑来自侧街的转折流量,特别是当交通量相对较高并且动脉交叉口之间的间距很短。在本文中,考虑到左转交通,提出了一种新的?双向带宽最大化方法。基本框架是一个修改的多频带模型,它重新定义了进展线,以更准确地考虑排队过程。我们首先介绍一个带宽最大化模型LT1,其通过流量最大化沟通频带。捕获不同队列配置文件的功能?在队列间隙时间内。此外,我们扩展了LT1模型,以考虑侧街左转流量的进展频段,称为LT2。对于引线左转模式,基于近似延迟模型引入最小带宽约束。数值结果表明,所提出的模型可以有效地降低每个载体的整体网络平均延迟和止损数。

著录项

  • 来源
    《Transportmetrica》 |2019年第2期|1627-1650|共24页
  • 作者单位

    Tongji Univ Minist Educ Dept Traff Engn Shanghai Peoples R China|Tongji Univ Minist Educ Key Lab Rd & Traff Engn Shanghai Peoples R China;

    Tongji Univ Minist Educ Dept Traff Engn Shanghai Peoples R China|Tongji Univ Minist Educ Key Lab Rd & Traff Engn Shanghai Peoples R China;

    Sun Yat Sen Univ Sch Intelligent Syst Engn Guangzhou Guangdong Peoples R China|Hong Kong Univ Sci & Technol Dept Civil & Environm Engn Hong Kong Peoples R China;

    Tongji Univ Minist Educ Dept Traff Engn Shanghai Peoples R China|Tongji Univ Minist Educ Key Lab Rd & Traff Engn Shanghai Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Signal coordination; progression model; turning traffic; queue profile; side-street phase sequence;

    机译:信号协调;进展模型;转动流量;队列配置文件;侧街阶段序列;

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