Deep characteristics analysis on travel time of emergency traffic

Jiao Yao, Yaxuan Dai, Yiling Ni, Jin Wang, Jing Zhao

Research output: Contribution to journalArticleScientificpeer-review

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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.

Original languageEnglish
Pages (from-to)162-169
Number of pages8
JournalInternational Journal of Computational Science and Engineering
Volume22
Issue number1
DOIs
Publication statusPublished - 2020

Keywords

  • Deep characteristics analysis
  • Emergency rescue traffic
  • Frequent emergencies
  • Limited urban road resources
  • Priority levels
  • Travel time

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