Emergency traffic distribution and related traffic organization method under natural disasters

被引:0
作者
Ma X. [1 ]
Guo H. [2 ,3 ]
Tang X. [1 ]
Gao X. [4 ]
Wang X. [1 ]
机构
[1] Shandong Hi-Speed Group Co. Ltd, No. 5006 Olympic Sports Middle Road, Jinan
[2] School of Transportation, Jilin University, No.5988 Renmin Street, Changchun
[3] Jilin Research Center of Intelligent Transportation System, Jilin University, No.5988 Renmin Street, Changchun
[4] Transport Planning and Research Institute, Ministry of Transport, Beijing
来源
Sustainable Operations and Computers | 2023年 / 4卷
关键词
Emergency lane reversal strategy; Emergency traffic distribution; Modified Logit model; Natural disasters; Traffic organization method;
D O I
10.1016/j.susoc.2022.09.001
中图分类号
学科分类号
摘要
The frequent occurrence of natural disasters caused by human activities and environmental pollution has forced people to pay attention to environmental protection. Of course, emergency rescue after natural disasters is also a great component of research. Emergency rescue often generates a large number of emergency evacuation and rescue traffic needs. In the face of scarce road resources, how to allocate limited road resources for emergency traffic needs reasonably to improve the efficiency of emergency rescue has important practical significance. This paper studies the emergency traffic distribution method and the traffic organization method of the emergency traffic network. First, on the basis of the existing traffic distribution method based on Logit model, combined with the characteristics of emergency traffic flow, an emergency multi-path traffic distributed method based on the second modified Logit model is proposed. As well as the emergency lane reversal implementation strategy is proposed according to the actual situation. Finally, an example is proposed to comprehensively verify the emergency traffic distribution method and emergency lane reversal strategy proposed in this paper. The experimental results show that the proposed method can cope with the complex scenarios of multiple emergency traffic flows and is helpful to improve the overall efficiency of emergency traffic flow. © 2022 The Author(s)
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页码:1 / 9
页数:8
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