Optimization and Planning of Emergency Evacuation Routes Considering Traffic Control

Author:

Li Guo12ORCID,Zhang Lijun12,Wang Zhaohua12

Affiliation:

1. School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China

2. Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China

Abstract

Emergencies, especially major ones, happen fast, randomly, as well as unpredictably, and generally will bring great harm to people’s life and the economy. Therefore, governments and lots of professionals devote themselves to taking effective measures and providing optimal evacuation plans. This paper establishes two different emergency evacuation models on the basis of the maximum flow model (MFM) and the minimum-cost maximum flow model (MC-MFM), and proposes corresponding algorithms for the evacuation from one source node to one designated destination (one-to-one evacuation). Ulteriorly, we extend our evaluation model from one source node to many designated destinations (one-to-many evacuation). At last, we make case analysis of evacuation optimization and planning in Beijing, and obtain the desired evacuation routes and effective traffic control measures from the perspective of sufficiency and practicability. Both analytical and numerical results support that our models are feasible and practical.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Environmental Science,General Biochemistry, Genetics and Molecular Biology,General Medicine

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Optimization Model for the Evacuation Time in the Presence of Delay;AIRO Springer Series;2021

2. PEDESTRIAN–BUS ROUTE AND PICKUP LOCATION PLANNING FOR EMERGENCY EVACUATION;Transport;2020-10-13

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4. Fast Transportation in a Disaster Situation along Real-Life Grid-Structured Road Networks;2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall);2019-09

5. A Stage-Wise Path Planning Approach for Crowd Evacuation in Buildings;Proceedings of the 32nd International Conference on Computer Animation and Social Agents;2019-07

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