路段直线式公交站点对公交车延误的影响

doi:10.13229/j.cnki.jdxbgxb201606008

摘要/Abstract

摘要： 针对在路段上设置直线式公交站点的公交车延误问题,根据公交站点设置在两相邻交叉口间路段位置的不同,将其划分为上游公交站点和下游公交站点两类,分别利用交通波理论分析交通流稳定输入下直线式公交站点对交通运行的影响,并构建交叉口处交通流变化反作用于公交车的延误计算模型。当公交站点设置在路段上游时,根据公交车通过交叉口情况不同,将公交车延误划分为3种情况,并根据每种情况发生的概率以及对应公交车延误计算得到公交车延误期望值。当公交站点设置在路段下游时,通过抽象坐标系描述交叉口车辆的运行轨迹,构建公交车延误模型,并利用Matlab编程实现对延误的计算。仿真结果表明:相比于未设置公交站点情况,当公交站点设置在路段上游时,公交车延误较小,且随着流量、周期以及停靠时间的增加,公交车延误逐渐增大;公交站点设置在路段下游时,随着公交站点与下游交叉口距离的增大,公交车延误呈先减小而后增大的趋势。

关键词: 交通运输系统工程, 公交车延误, 交通波理论, 信号交叉口, 公交站点位置

Abstract: In order to reduce the bus delays in a bus stop, which located near signalized intersection, the bus stops are classified into two categories according to their locations on the road. A bus delay model is established based on the shockwave theory by analysis of the interaction influence between bus stop and traffic flow. If the bus stop is located upstream the intersection, bus delays include three cases and the expected delay values are obtained by probabilities and corresponding delay case. If the bus stop is located downstream the intersection, the coordinate system is established to describe travelling track of both buses and cars, and the bus delay model is constructed. Simulation was carried out with aid of Matlab. Simulation results show that, with the growth of traffic flow, signal cycle and dwell time, the bus delay increases if the bus stop is located upstream the intersection. If the bust stop resides downstream the intersection, the bus delay decreases first and then increases as it approach the upstream stop.

Key words: engineering of communication and transportation system, bus delays, shockwave theory, signalized intersection, bus stop location

中图分类号:

U491

梁士栋, 赵淑芝, 马明辉, 刘华胜, 卢春秀. 路段直线式公交站点对公交车延误的影响[J]. 吉林大学学报(工学版), 2016, 46(6): 1807-1817.

LIANG Shi-dong, ZHAO Shu-zhi, MA Ming-hui, LIU Hua-sheng, LU Chun-xiu. Impacts of linear bus stop on bus delays[J]. 吉林大学学报(工学版), 2016, 46(6): 1807-1817.

参考文献

[1] Fitzpatrick K, Hall K, Perkinson D, et al. Guidelines for the location and design of bus stops[R]. Washington DC: National Academy Press, 1996.
[2] 孙锋,王殿海,马东方. 直线型公交停靠站通行能力计算方法[J]. 西南交通大学学报,2013,48(3):546-552.
Sun Feng,Wang Dian-hai, Ma Dong-fang. Method for computing on-line bus stop capacity[J]. Journal of Southwest Jiaotong University,2013,48(3):546-552.
[3] 孙锋,王殿海,马东方,等. 港湾式公交停靠站通行能力计算方法[J]. 东南大学学报:英文版,2012,28(4):485-489.
Sun Feng,Wang Dian-hai, Ma Dong-fang,et al. Method for calculating the capacity of bus bay[J]. Journal of Southeast University (English Edition),2012,28(4):485-489.
[4] Furth P G, SanClemente J L. Near side, far side, uphill, downhill: impact of bus stop location on bus delay[J]. Transportation Research Record,2006, 1971(1):66-73.
[5] Terry D S, Thomas G J. Farside bus stops are better[J]. Traffic Engineering,1971,41(3):21-29.
[6] Fitzpatrick K,Hall K,Perkinson D,et al.Location and design of bus stops[J].ITE Journal,1997,67(5):36-41.
[7] Moura J L, Alonso B, Ibeas Á, et al. A two-stage urban bus stop location model[J]. Networks and Spatial Economics,2012,12(3):403-420.
[8] Gibson J. Effects of a downstream signalized junction on the capacity of a multiple berth bus-stop[C]∥Proceedings of the 24th PTRC European Transport Forum, London,1996: 00737488.
[9] Szeto W Y, Jiang Y, Wong K I, et al. Reliability-based stochastic transit assignment with capacity constraints: formulation and solution method[J]. Transportation Research Part C: Emerging Technologies,2013,35:286-304.
[10] Gu W, Li Y, Cassidy M J, et al. On the capacity of isolated, curbside bus stops[J]. Transportation Research Part B: Methodological,2011,45(4):714-723.
[11] Ibeas Á, dell'Olio L, Alonso B, et al. Optimizing bus stop spacing in urban areas[J]. Transportation Research Part E: Logistics and Transportation Review, 2010,46(3):446-458.
[12] 赵卓峰,丁维龙,李响.面向交通感知数据处理业务的虚拟机调度系统[J].重庆邮电大学学报:自然科学版,2014,26(6):737-744.
Zhao Zhuo-feng,Ding Wei-long,Li Liang.Virtual machine scheduling system for multiple traffic sensor data processing applications hosting[J].Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition),2014,26(6):737-744.
[13] 张爱科,符保龙.基于最大收益平衡点动态变化的云资源调度算法[J].重庆邮电大学学报:自然科学版,2014,26(5):706-711.
Zhang Ai-ke,Fu Bao-long.Cloud resource scheduling algorithm based on dynamic change of maximum profit equilibrium[J].Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition),2014,26(5):706-711.

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