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交通事件影响下的路径行程时间变化分析

张玺 刘海旭 蒲云

张玺, 刘海旭, 蒲云. 交通事件影响下的路径行程时间变化分析[J]. 西南交通大学学报, 2013, 26(5): 928-933. doi: 10.3969/j.issn.0258-2724.2013.05.023
引用本文: 张玺, 刘海旭, 蒲云. 交通事件影响下的路径行程时间变化分析[J]. 西南交通大学学报, 2013, 26(5): 928-933. doi: 10.3969/j.issn.0258-2724.2013.05.023
ZHANG Xi, LIU Haixu, PU Yun. Analysis of Route Travel Time Variation of Road Network Suffering Traffic Incidents[J]. Journal of Southwest Jiaotong University, 2013, 26(5): 928-933. doi: 10.3969/j.issn.0258-2724.2013.05.023
Citation: ZHANG Xi, LIU Haixu, PU Yun. Analysis of Route Travel Time Variation of Road Network Suffering Traffic Incidents[J]. Journal of Southwest Jiaotong University, 2013, 26(5): 928-933. doi: 10.3969/j.issn.0258-2724.2013.05.023

交通事件影响下的路径行程时间变化分析

doi: 10.3969/j.issn.0258-2724.2013.05.023
基金项目: 

国家自然科学基金资助项目(50908196,51278429)

中央高校基本科研业务费专项资金资助项目(SWJTU09CX041)

详细信息
    通讯作者:

    刘海旭(1974-),男,副教授,博士,研究方向为道路网络可靠性,E-mail:hxliu@home.swjtu.edu.cn

Analysis of Route Travel Time Variation of Road Network Suffering Traffic Incidents

  • 摘要: 为了对交通管理系统中的事件管理提供可靠的决策依据,针对持续期为数天的交通事件,考虑事件发生后出行者日常路径选择的随机性,基于路径流量联合概率分布的动态调整过程,建立了描述路网系统路径行程时间变化的随机动态交通分配模型.并用算例网络验证了本文建立模型的可行性.算例研究结果表明:交通事件持续期每增加10 d,持续期内路径的平均行程时间增加0.24%;与普通路段相比,事件发生在关键路段导致平均行程时间增加3.07%; 路段通行能力每下降10%,平均行程时间增加2.53%;不同事发路段对路网系统在事件结束后恢复到均衡状态所需时间的差别显著,关键路段通行时间的恢复约为普通路段的4倍.

     

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出版历程
  • 收稿日期:  2012-09-17
  • 刊出日期:  2013-10-25

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