Data-Driven Emergency Traffic Management, Optimization and Simulation

Dear Colleagues,

Recently, sudden disasters have occurred frequently and trend increasingly all over the world. Besides the conventional natural disasters (such as earthquakes, floods, and hurricanes), the accident disasters (such as fire, gas explosions in high-density urban central districts) and the new-type of disasters (such as cataphoresis, terrorist attacks, hazardous material leakage) happen occasionally and growing.

Emergency traffic management and organization are essential to ensure the emergency material and rescue workers respond on time and victims evacuate promptly. Timely and efficient emergency traffic management can lessen the loss of life and property. Many new ideas and technologies have been proposed to make emergency traffic management more efficient. These methods include traffic network reliability analysis and optimization, traffic evacuation route optimization and guidance, and emergency resource dispatch and optimization.

This special issue will highlight new opportunities and challenges for sustainable transportation, focusing on improving and evaluating emergency traffic management and control with traffic flow modeling, controlling, and simulation using multi-source data. We welcome papers on the following topics:

(1) Modeling and simulating the performance of traffic networks or traffic flow under sudden disaster.

(2) Traffic evacuation route optimization and guidance in sudden disaster.

(3) Traffic behavior modeling and characteristics analysis in sudden disaster.

(4) Emergency resource dispatch and optimization in sudden disasters.

(5) Traffic management and control in sudden disasters.

Dr. Ciyun Lin
Dr. Bowen Gong
Dr. Dayong (Jason) Wu
Guest Editors

Manuscript Submission Information

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