Title: Deep characteristics analysis on travel time of emergency traffic

Authors: Jiao Yao; Yaxuan Dai; Yiling Ni; Jin Wang; Jing Zhao

Addresses: Business School, University of Shanghai for Science and Technology, No. 334, Jungong Road, Yangpu District, Shanghai, China ' Business School, University of Shanghai for Science and Technology, No. 334, Jungong Road, Yangpu District, Shanghai, China ' Business School, University of Shanghai for Science and Technology, No. 334, Jungong Road, Yangpu District, Shanghai, China ' School of Computer and Communication Engineering, Changsha University of Science and Technology, No. 960, South Road Wangjiali, Changsha, 410114, China ' Department of Transport and Planning, Delft University of Technology, P.O. Box 5, 2600 AA, Delft, 2628CN, Netherlands

Abstract: Owing to the rapid development of emergency rescue transportation in cities and the frequent emergencies, demand for emergency rescue is increasing drastically. How to select an emergency rescue route quickly and shorten the rescue travel time under the condition of limited urban road resources is of great significance. Based on the characteristics analysis of emergency rescue, this paper classifies priority levels of different emergency traffic, moreover, the travel times are also analysed with three scenarios: 1) emergency rescue vehicles encountering no queues; 2) encountered queues but lanes available; 3) encountered queues with no available lanes. Related case study shows that model in this paper can effectively shorten travel time of emergency traffic in the route and improve its efficiency.

Keywords: emergency rescue traffic; frequent emergencies; limited urban road resources; priority levels; deep characteristics analysis; travel time.

DOI: 10.1504/IJCSE.2020.107271

International Journal of Computational Science and Engineering, 2020 Vol.22 No.1, pp.162 - 169

Received: 27 Feb 2019
Accepted: 18 Jul 2019
Published online: 11 May 2020 *

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