In order to improve the allocation efficiency of emergency resources for urban public emergencies and reduce the response time loss of emergency rescue in the links such as scheduling and path selection, this paper establishes an integrated dynamic optimization model for emergency vehicle scheduling and path selection based on the traffic information in real-time and time-varying road network environment, aiming at the lowest cost of emergency vehicle scheduling and the shortest emergency response time, and designs a genetic algorithm to solve it. The example analysis results verify the practicability of the model.