Print Email Facebook Twitter Deep characteristics analysis on travel time of emergency traffic Title Deep characteristics analysis on travel time of emergency traffic Author Yao, Jiao (University of Shanghai for Science and Technology) Dai, Yaxuan (University of Shanghai for Science and Technology) Ni, Yiling (University of Shanghai for Science and Technology) Wang, Jin (Changsha University of Science and Technology) Zhao, J. (TU Delft Transport and Planning) Date 2020 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. Subject Deep characteristics analysisEmergency rescue trafficFrequent emergenciesLimited urban road resourcesPriority levelsTravel time To reference this document use: http://resolver.tudelft.nl/uuid:513a5ff4-6c25-4d98-8635-6d92b078a5af DOI https://doi.org/10.1504/IJCSE.2020.107271 Embargo date 2021-05-04 ISSN 1742-7185 Source International Journal of Computational Science and Engineering, 22 (1), 162-169 Bibliographical note Accepted Author Manuscript Part of collection Institutional Repository Document type journal article Rights © 2020 Jiao Yao, Yaxuan Dai, Yiling Ni, Jin Wang, J. Zhao Files PDF Deep_characteristics_anal ... affic_.pdf 633.59 KB Close viewer /islandora/object/uuid:513a5ff4-6c25-4d98-8635-6d92b078a5af/datastream/OBJ/view