针对城市中应急车辆的救援路径优化问题,分析了基于交通信息中心的应急车辆最优路径的多目标属性,给出了随机网络中各属性的量化计算方法,以最小化出行时间,最大化行程时间可靠度为目标,考虑了通行可靠性、安全性、道路条件限制等因素,建立了应急车辆出行前最优路径选择的多目标规划模型。模型所求得的解是综合最优路径,反映了应急车辆路径选择的目标需求,克服了以往直接等同于图论中最短路径的缺陷,给出了算法,通过算例验证了模型的合理性和有效性。
To the route optimization of emergency vehicles in cities, a multi-objective progranuning model of optimal route choice with minimum travel time and maximum reliability was established. With consideration of the factors such as the capacity reliability, safety and road condition, the model displays the quantitative numeration of attributes in random network based on the analysis of the multi-objective attribute of the optimization of route choice problem of emergency vehicles in urban traffic information center. The model results in a comprehensive optimal route which can reflect the diversity feature of information demand for emergency vehicles. The disadvantage which the optimal path was always simplified to the shortest path problem was overcome. The solution algorithm was proposed. The rationality and validity of the model is demonstrated by one example.