The performance of emergency vehicle rescue is one of the most important indicators of urban emergency management capability.At present,the rescue performance of emergency vehicles in urban area is facing many challenges such as traffic congestion,delay at intersections and sudden accidents.The traditional route algorithm cannot meet emergency vehicles'rapid,efficient,safe and reliable rescue demands due to the ignorance of the actual rescue demands of emergency vehicles and route selection preferences.In order to address this problem,a two-phase urban emergency vehicle rescue route dynamic optimization method is proposed considering collaborative spatio-temporal prioritization based on the emergency vehicles and social vehicles in the priority access policy,vehicle characteristics,optimization goals,route selection preferences and other aspects of the differences.In the first stage,Yen's algorithm,which is used for solving the static K-shortest pass,is combined with the spatio-temporal dynamics,high stochasticity and uncertainty characteristics of the urban road network.A dynamic K-shortest path accurate algorithm with safety and reliability constraints is constructed.In this stage,safety constraint conditions are developed based on the hierarchical clustering algrithm,and the reliability constraints are developed based on the skewness indicator and other comprehensive evaluation indicators.In the second stage,based on the static attribute features such as the number of lanes,the speed limit of the road links,and the length of the road links and the dynamic attribute features such as the congestion delay index and the average speed of the road links,the optimal rescue route considering the collaborative spatio-temporal prioritization is obtained.The result shows that compared with the historical rescue trajectory,the proposed two-phase urban emergency vehicle rescue route dynamic optimization method can shorten the response time of urban emergency vehicles effectively and improve the safety and reliability,therefore,the method has good prospects for practical application.
urban trafficdynamic optimization on routecollaborative spatio-temporal prioritizationemergency vehiclesafety riskreliability
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