交通运输系统工程与信息 ›› 2012, Vol. 12 ›› Issue (4): 143-148.

• 系统工程理论与方法 • 上一篇    下一篇

区域危险品泄漏事故后元胞路网疏散模型研究

陈钢铁,帅斌*   

  1. 西南交通大学 交通运输与物流学院,成都 610031
  • 收稿日期:2012-02-20 修回日期:2012-03-23 出版日期:2012-08-25 发布日期:2012-09-07
  • 作者简介:陈钢铁,(1983-),男,湖北咸宁人,博士生.
  • 基金资助:

    国家自然科学基金项目(71173177);中央高校基本科研业务费专项资金(2010XS23).

Traffic Evacuation of Cellular Network after Dangerous Goods Spill

CHEN Gang-Tie, SHUAI Bin   

  1. Traffic Evacuation of Cellular Network after Dangerous Goods Spill
  • Received:2012-02-20 Revised:2012-03-23 Online:2012-08-25 Published:2012-09-07

摘要:

当易扩散性危险品发生严重泄漏后,危害区的应急交通疏散对减少人员伤害和经济损失具有非常重要的作用.本文研究区域易扩散性危险品发生泄漏后,建立在规定的时间内,应急交通部门主导的路网疏散,目标函数为区域应急疏散路网能力的元胞传输模型.结合模型复杂性的特点,以及量子粒子群算法的优点对模型进行求解.算例表明,在应急疏散过程中,应急交通管理部门利用信息优势和主导权利使路网应急疏散能力比自然的路网应急疏散能力提高了56.9%.模型和算法可为应急交通管理决策部门提供理论支持.

关键词: 综合交通运输, 应急疏散, 元胞模型, 危险品, 量子粒子群算法, 最大疏散车流

Abstract:

After dangerous goods spilling, the emergency evacuation transportation of the hazardous area is rather important to reduce personal injuries and economic losses. This paper analyzes the emergency evacuation on major and core road networks during a given time. The objective function is a cell model for regional emergency evacuation considering road network capacity. Then, combining with the complexity of the model characteristics and advantages, the quantum particle swarm model is solved. The example shows that under emergency situations, if the traffic management department makes most of the information superiority and dominant road network evacuation capacity, the evacuation capability will increase by 56.9% than normal cases. The proposed models and algorithms provide a theoretical support for emergency traffic management.

Key words: integrated transportation, emergency evacuation, cell model, dangerous goods, quantum particle swarm optimization, maximum evacuation traffic

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