Scenario-based emergency material scheduling using V2X communications
|Author:||Hu, Hui1; Chen, Keqi1; He, Jing1;|
1School of Automobile, Chang’an University, Xi’an 710064, China
2Traffic and Plan Design Institute, Huzhou 313000, China
3Department of Information Technology and Electrical Engineering, University of Oulu, 90014 Oulu
4Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON M5S 3G4, Canada
|Online Access:||PDF Full Text (PDF, 2.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019101032125
|Publish Date:|| 2019-10-10
Vehicle-to-everything (V2X) communications can be applied in emergency material scheduling due to their performance in collecting and transmitting disaster-related data in real time. The urgency of disaster depots can be judged based on the disaster area video, and the scenario coefficient can be evaluated for building a fairness model. This paper presents a scenario-based approach for emergency material scheduling (SEMS) using V2X communications. We propose a SEMS model, with the objectives of minimum time and maximum fairness in the cases of multiple supply depots, disaster depots, commodities and transport modes for logistics management of relief commodities. We design the SEMS algorithm based on the artificial fish-swarm algorithm to obtain an optimized solution. The results demonstrate that the SEMS model can enhance the fairness of relief scheduling, especially for disaster depots with small demands compared to the Gini and enhanced Theil fairness models. Moreover, the acquired vehicle speed via V2X communications updates the SEMS model in real time, which approaches a solution closer to reality.
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
113 Computer and information sciences
This research was supported by the National Natural Science Foundation of China under Grant U1664264, the China Fundamental Research Funds for the Central Universities under Grant 3100102229103 and 300102229111, Xi’an Social Science Planning Fund under Grant 19Z73 and the China Innovation and Entrepreneurship Training Program for College Students under Grant 20191071245.
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