Dynamic Optimization of Emergency Rescue Routes for Hazardous Chemical Road Transport Accidents Based on Congestion Degree
Rapid and efficient emergency rescue is of great significance for effectively reducing the consequences of hazardous chemical road transport accidents and preventing the occurrence of secondary derivative disasters.In view of the current problem of insufficient consideration of the real-time dynamics of traffic flow in the planning of emergency rescue routes,and thus affecting the optimal choice of paths,this paper constructs a dynamic optimization model for the selection of emergency rescue routes in the event of accidents.Through the introduction of the concept of congestion in traffic flow,this paper uses fuzzy theory to quantify the congestion of different roads,with the goal of the shortest arrival time of the rescue vehicle to the accident point.The rescue vehicle driving path under the dynamic road network is optimized for modeling,and the introduction of dynamic crossover probability and dynamic variability probability in the path solving to improve the genetic algorithm.Example applications show that when using the dynamic path optimization model,the driving time is 25％more efficient than the path model without considering congestion,indicating that the dynamic path optimization model proposed in this paper is scientific,reasonable and effective.
road congestionhazardous chemical transportationemergency rescue routesimproved genetic algorithmdynamic path selection
万方数据
维普
