Performance Analysis Model Of Urban Emergency Rescue System

The emergency rescue system is a powerful guarantee for keeping the city safe.Urban rescue systems include traffic accident,fire protection,public security,medical and other systems.These systems have a common rescue process:if a call for service is generated from within the rescue zone,a nearby idle vehicle will be assigned by the command center which returns to the station to wait for the next rescue after completion.How to scientifically deploy and dispatch rescue vehicles is the key to improving rescue efficiency.In order to plan the rescue system scientifically,this paper considers three rescue features,namely:single-vehicle assignment(one rescue vehicle is assigned at a time),differences of rescue zones(the number of rescue vehicles in the rescue zone and rescue time),and multi-vehicle assignment based on disaster grading(different numbers of rescue vehicles are assigned at one time according to the intensity of the disaster).And the planning and performance evaluation of emergency rescue systems are studied.For single-vehicle rescue,a simplified solution model and an algorithm of rescue vehicle workload are constructed by using conditional probability and queuing theory,and the calculation method of rescue performance indexes is given.The model is verified by the emergency medical system in the central urban area of Suzhou.The research shows that the solution accuracy of the approximate model increases with the increase of the total number of rescue vehicles;by optimizing the assignment priority of rescue vehicles,location of rescue vehicles and the division of rescue zones,the average response time of rescue vehicles can be effectively shortened and the workload of rescue vehicles can be balanced.Facing the differences of rescue zones,based on conditional probability and stochastic process theory,an emergency rescue analysis model and a rescue station workload algorithm are established,and the performance indexes for solving the efficiency and fairness of the rescue system are given.The built model is verified by a numerical example and Suzhou fire rescue system.The results show that after the optimization,the workload of the system and the rescue response time are decreased.Facing the multi-vehicle scheduling and disaster grading,the rescue station combination state space and its state balance equation are established based on the fact of the rescue squadron being dispatched together.And the solution of performance indicators such as the combination state probability and workload of the rescue station is realized.A case study is carried out for the Suzhou fire protection system.The research shows that after adjusting zone priorities,performance indicators are balanced across stations.The models built in this paper solve the problem of no vehicles available and idle vehicles in different rescue scenarios,and provide method support for planning and decision-making of urban emergency rescue system.