Bus delay model considering influence of stop at upstream of intersection

doi:10.3785/j.issn.1008-973X.2020.04.019

Journal of ZheJiang University (Engineering Science)

2020, Vol. 54

Issue (4): 796-803 DOI: 10.3785/j.issn.1008-973X.2020.04.019

Civil Engineering, Traffic Engineering

Bus delay model considering influence of stop at upstream of intersection

Wen-tao ZHU1(

),Guo-min QIAN1,Dong-fang MA2,Dian-hai WANG1,*(

)

1. School of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
2. Ocean College, Zhejiang University, Hangzhou 310058, China

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Abstract

The bus delay under the influence of upstream stop at intersection was analyzed. The modeling scenario was divided into three categories according to whether the system set the bus lane and the bus station position was father than the farthest queue point of the intersection by analyzing the location of the stop upstream at the intersection, the signal timing, the stop time, the input flow and other factors. The bus delay model under the influence of the stop was established based on the traffic wave theory. All models were analyzed and calculated by the numerical simulation. Results show that the expected bus delay is only related to the cycle and the green signal ratio in the BL scenario. In the NBL1 scenario, the expected bus delay increases with the increase of traffic flow, cycle and red light duration, and has nothing to do with the bus stop time. In the NBL2 scenario, the expected bus delay first decreases and then increases as the distance of the station increases. The expected bus delay under NBL1 is the largest with the increase of traffic flow under the same conditions.

Key words： bus delay bus stop farthest queuing point bus lane traffic wave

Received: 29 March 2019 Published: 05 April 2020

CLC:

U 491

Corresponding Authors: Dian-hai WANG E-mail: 11212058@zju.edu.cn;wangdianhai@zju.edu.cn

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Cite this article:

Wen-tao ZHU,Guo-min QIAN,Dong-fang MA,Dian-hai WANG. Bus delay model considering influence of stop at upstream of intersection. Journal of ZheJiang University (Engineering Science), 2020, 54(4): 796-803.

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http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2020.04.019 OR http://www.zjujournals.com/eng/Y2020/V54/I4/796

考虑路口上游停靠站影响的公交延误模型

针对路口上游停靠站影响下的公交延误分析问题，考虑路口上游停靠站位置、信号配时、停靠时间、输入流量等因素，将建模场景按照是否设置公交专用道以及停靠站位置是否大于路口最远排队点分成3类，基于交通波理论对各场景分别建立停靠站影响下的公交延误模型. 通过数值模拟，对所建模型进行分析测算. 结果表明，BL场景下的期望公交延误仅与周期和绿信比有关；NBL1场景下的延误随着流量、周期、红灯时长的增大而增大，且与公交停靠时长无关，NBL2场景下的延误随着站点距离的增加呈现先减小后增大的趋势；在相同条件下，随着流量的增加，NBL1下的期望公交延误最大.

关键词： 公交延误, 停靠站, 最远排队点, 公交专用道, 交通波

Fig.1 Traffic wave propagation diagram

Fig.2 Space-time map of intersection vehicles under BL scenario

Fig.3 Space-time map of intersection vehicles under NBL1 scenario

Fig.4 Classification of different bus stop locations under NBL2 scenario

Fig.5 Bus operation trajectory of scenario 1 when

${d_{\rm{A}}} \leqslant {d_{\rm{s}}} < {d_{\rm{M}}}$

Fig.6 Bus operation trajectory of scenario 2 when

${d_{\rm{A}}} \leqslant {d_{\rm{s}}} < {d_{\rm{M}}}$

Fig.7 Bus operation trajectory of scenario 3 when

${d_{\rm{A}}} \leqslant {d_{\rm{s}}} < {d_{\rm{M}}}$

Fig.8 Bus operation trajectory of scenario 4 when

${d_{\rm{A}}} \leqslant {d_{\rm{s}}} < {d_{\rm{M}}}$

Fig.9 Bus operation trajectory map under different scenarios when

${d_{\rm{M}}} \leqslant {d_{\rm{s}}} < {d_{\rm{N}}}$

Fig.10 Bus operation trajectory map under different scenarios when

${d_{\rm{N}}} \leqslant {d_{\rm{s}}} < {d_{\rm{C}}}$

Fig.11 C-λ-D relationship diagram in BL scenario

Fig.12 Analysis of bus delay in NBL1 scenario

Fig.13 Analysis of bus delay in NBL2 scenario

Fig.14 Impact of input traffic on delays in three scenarios


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