交通运输系统工程与信息

交通运输系统工程与信息 ›› 2016, Vol. 16 ›› Issue (3): 73-80.

• 智能交通系统与信息技术 • 上一篇    下一篇

短时交通事故影响下的换道行为研究

陈玲娟*1,2，王殿海2   

  1. 1. 武汉科技大学汽车与交通工程学院，武汉430081；2. 浙江大学建筑工程学院，杭州310058
  • 收稿日期:2015-12-23 修回日期:2016-03-07 出版日期:2016-06-25 发布日期:2016-06-27
  • 作者简介:陈玲娟（1985-），女，湖北天门人，博士后.
  • 基金资助:

    国家自然科学基金/ National Natural Science Foundation of China (51308425)；中国博士后科学基金/ China Postdoctoral Science Foundation（2014M561762）.

Research on En-route Behavior under Short-term Incident

CHEN Ling-juan1,2，WANG Dian-hai2   

  1. 1. School of Automobile and Traffic Engineering,Wuhan University of Science and Technology,Wuhan 430081, China; 2. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
  • Received:2015-12-23 Revised:2016-03-07 Online:2016-06-25 Published:2016-06-27

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摘要：

为研究交通事故影响下非平衡态的出行行为，建立了无信息和有信息两类出 行者在面临延误时的换道出行模型.无信息出行者到达事故路段，计算实际走行时间与出 发前预算时间的延误超过容忍值时，部分出发者中途换道；有信息出行者在出发前通过 实时信息调整出发时刻和出行路径，且在途中任一存在有效转移路径的节点处选择中途 换道，两类出行者均依据转移系数确定流量换道概率.利用路段传输模型加载流量，计算 走行时间及车流密度，并作为实时信息发布给出行者.算例比较了3 种选择机制下的路网 性能，结果表明：信息度越高，事故期间路网拥挤程度越低，但换道概率增大，稳定性较 差；反之信息度越低，路网拥挤程度越高，但路网稳定性较好.

关键词: 城市交通, 中途换道, 出发时刻转移, 短时交通事故, 有限理性

Abstract:

In order to study the non-equilibrium state under short-term incident, an en-route model for two types of travelers facing delay is established. Travelers without information choose en- route diversion behavior when arriving at incident section and computing delays exceeding tolerance; Travelers with information change route at pre-trip and adjust departure time through real-time information, also choose enroute diversion at any nodes existing effective transfer routes. Transfer coefficient is adopted to determine flow transition probability. Link transmission model is adopted to calculate travel time and traffic density, and results are released to travelers as real- time information. A numerical example has compared network performance under three mechanisms. Results show that under condition of higher degree information, network congestion is lower but network stability is poorer, the probability of en- route is larger; whereas information degree is lower, network congestion is higher and network stability is better.

Key words: urban traffic, en-route diversion, departure time adjustment, short-term incident, limited rationality

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