Affiliations: [a] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China
| [b] National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest JiaoTong University, Chengdu, China
| [c] National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Southwest Jiaotong University, Chengdu, China
| [d] Department of Civil Engineering College of Engineering and Technology, University of Sargodha, Sargodha, Pakistan
Correspondence:
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Corresponding author. Chen Dingjun, School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China. E-mail: chen-dingjun@163.com.
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.
