Research On Vehicle Path Selecting Optimization For Emergency Rescue In Urban Fire

The fire is a serious harm to people’s lives and property, a direct impact on social development and stability of the common disaster. The development of the city is always accompanied by the fight against fire, with China’s rapid economic development and urbanization continues to accelerate, expanding the size of the cities, urban fires are more frequent, resulting in the loss is also growing. Are facing a serious fire situation, the fire and rescue forces to shorten the fire response time to reach the scene of the fire as soon as possible to expand the emergency rescue, fire can effectively control the situation and reduce losses. Fire emergency vehicles as emergency vehicles, although not subject to the restrictions of the traffic signal, but in the actual operation, as part of the traffic flow will certainly be subject to the impact of real-time traffic conditions, the uncertainty resulting from the fire center to the travel time of the fire place, the entire fire service response time greater impact. Therefore, in the city in case of fire, how to choose the real-time traffic impact fire vehicles driving route to make it barrier-free in the shortest time to reach the scene of the fire, an important part of fire fighting and rescue work. Traditional urban fire and rescue work is rarely related to this issue, they are the focus of discussion is the overall layout of the city fire station or configuration issues.This paper summarizes the city fire incidents, fire rescue vehicle routing problem with the urgency of the weak economy, uncertainty, time-varying conditions, the length of time vehicles is closely related to its departure time, the use of logistics established change conditions timeliness, smooth and economical three attributes component of multi-attribute decision model based on multi-attribute utility theory analysis and dimensionless component of the three properties, combined with non-dimensional processing and weighted of the model into a single-attribute decision making model, and new decision-making utility function value as the objective function of the new model, the improved Dijkstra algorithm to solve Finally, an example to verify the feasibility.In this paper, operations research, decision theory and methods, select emergency rescue vehicle routing problem modeling and solving a certain significance to the actual fire emergency rescue vehicle dispatching decisions.