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Research on trans-region integrated traffic emergency dispatching technology based on multi-agent.

Authors :
Yang, Tingyu
Peng, Xiaoqian
Chen, Dingjun
Yang, Feiyu
Muneeb Abid, Malik
Balas, Valentina Emilia
Jain, Lakhmi C.
Source :
Journal of Intelligent & Fuzzy Systems; 2020, Vol. 38 Issue 5, p5763-5774, 12p
Publication Year :
2020

Abstract

With the increasingly close links between provinces and municipalities, the complexity and social connectivity of emergencies have gradually increased. How to realize the rapid and scientific dispatch of emergency resources based on the comprehensive transportation network has become a realistic need. However, due to barriers in management and communication between different administrative regions and different modes of transportation, emergency resource scheduling can only be carried out in the region, and the utilization of integrated traffic channels is insufficient to form a good multimodal transport system. The multi-agent system has strong self-organization ability, learning ability and reasoning ability, which solves problems in the fields of dynamic decision-making and micro-simulation and provides ideas for solving the problem of comprehensive traffic emergency dispatching across regions. In this paper, the multi-agent system is introduced into the research of the task assignment problem of trans-regional comprehensive traffic emergency materials dispatching, based on the traditional bidding rules, the emergency dispatch task assignment rules are proposed and multi-agent trans-regional comprehensive traffic emergency dispatching model based on improved bidding rules is established. The simulation results show that the proposed method can break the regional barrier and form a multimodal transport scheme for emergency materials from the reserve point to the demand point under the minimum generalized time cost, providing decision support for emergency dispatch. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10641246
Volume :
38
Issue :
5
Database :
Complementary Index
Journal :
Journal of Intelligent & Fuzzy Systems
Publication Type :
Academic Journal
Accession number :
143831632
Full Text :
https://doi.org/10.3233/JIFS-179664