Model of emergency vehicle scheduling under uncertainty

To improve emergency response efficiency under uncertainty, the urban emergency vehicle scheduling model is optimized by the use of mathematical planning. Existing scheduling models are only built in accordance with current incidents while ignoring future incidents. Differently, to prevent future incidents, this paper establishes the mathematical formula which minimized the overall response time cost with weight as the objective function. From the perspective of time and space constraints, travel time calculation of emergency vehicle is discussed under different traffic flow. Case results show that, if the potential incidents really occur, the overall response time cost will be minimized by the scheduling policy. Furthermore, confidence level is selected to measure what extent the future incidents should be considered in response system. Meantime future serious incidents should be focused on prevention as confidence level tends to one, while current incidents would be responded with a priority as confidence level tends to zero.