交通运输系统工程与信息 ›› 2009, Vol. 9 ›› Issue (5): 124-129 .

• 系统工程理论与方法 • 上一篇    下一篇

事故处理时间与路网恢复可靠度关系研究

唐夕茹;陈艳艳*   

  1. 北京工业大学, 交通工程系, 北京 100124
  • 收稿日期:2009-06-09 修回日期:2009-08-11 出版日期:2009-10-25 发布日期:2009-10-25
  • 通讯作者: 陈艳艳
  • 作者简介:唐夕茹(1986-),女,广西省桂林市人,硕士生.
  • 基金资助:

    “十一五”国家科技支撑计划项目(2006BAJ18B01)

Relationship between Accident Deposing Time and Network Recovery Reliability

TANG Xi-ru; CHEN Yan-yan   

  1. Transportation Engineering Department, Beijing University of Technology, Beijing 100124, China
  • Received:2009-06-09 Revised:2009-08-11 Online:2009-10-25 Published:2009-10-25
  • Contact: CHEN Yan-yan

摘要: 交通系统的通畅对一个城市的经济繁荣、安全及人民生活质量起着至关重要的作用,遗憾的是,它常因各种事件(包括自然或人为灾害、交通事故、异常天气等)的发生而发生阻塞。本文引入路网恢复可靠度作为路网运行状况的评价指标,针对突发事件对路网的影响,评价路段及路网在发生事故等突发事件下能在预期时间内恢复正常功能的能力。以交通事故为例,利用DYNASMART中观仿真技术,通过蒙特卡洛模拟方法,对不同类型事故发生的路段进行分析研究,最终得出事故处理时间波动与路网恢复可靠度之间的关系并拟合关系模型,为今后的路网评价提供理论支持,为城市规划中各种政策法规的制定提供依据。

关键词: 交通工程, 路网恢复可靠度, DYNASMART仿真模型, 事故处理

Abstract: A smooth transportation system usually makes great contribution to promote city’s economic development, ensure security, and improve resident’s quality of life. At present, the roads always get blocked because of every kinds of incidents occurrence, such as damage, traffic accident, and uncommon weather. In the paper, the character of road network traffic recovery reliability is used to describe the condition of the road network. It is defined as the probability that the local road network affected by the incident being able to recover to formal condition within expected time. Taking traffic accident for example, this paper using the DYNASMART simulation technique to analyze the road sections which take different kinds of traffic accidents through the Monte-Carlo analogy procedure. Finally, it presents the relationships of accident deposing time fluctuation and the road network recovery reliability, and then fit the relational model, which provides theory support for road network planning to some extent.

Key words: traffic engineering, road network recovery reliability, DYNASMART simulation model, accident deposing

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