关键词: 救护车应急分配, 路径调度, 蚁群优化

Abstract: The parallel scheduling of ambulance and the problem of mass casualty rescue have been the priority problem in the field of emergency rescue. This paper firstly cites a model of ambulance concurrent allocation and scheduling optimization for a number of wounded patients with different degree of injury, according to the severity of the injury will be the classification of all the injured, on the basis of this different priorities for ambulance scheduling and rescue. In the heuristic algorithm, Ant Colony Optimization（ACO） pheromone global update strategy is improved to achieve the simultaneous optimization of multiple scheduling routes. Comparative experiments show that the proposed model and intelligent algorithm has better performance in the case of ambulance resources inadequately, the algorithm can generate a set of effective and feasible solutions and gives the wounded rescue routes and response time to each ambulance.

Key words: ambulance emergency allocation, scheduling routes, Ant Colony Optimization（ACO）