Optimization of subway emergency rescue and scheduling during heavy rainstorms
To improve the efficiency of subway emergency rescue and scheduling,a collaborative optimization method for subway emergency rescue and scheduling during heavy rainstorms is proposed to decide the emergency facility location,route design,rescue team allocation and vehicle scheduling.Firstly,based on the underground space structure of subway station and the resistance of water flow suffered by the trapped people,emergency rescue risk assessment is designed.Secondly,with the minimization of total cost and risk,a bi-objective optimization model is constructed,and the solution produced is designed through three multi-objective solving methods.Finally,the emergency management of Guangzhou Metro is applied to demonstrate the workability of proposed model and method.The new model and algorithm can provide a number of effective schemes,and the calculation results show that compared with the current situation of emergency management,the new optimization scheme can reduce the total risk by 14.29%and shorten the transportation time of the emergency rescue team by 12.16%.Compared with the traditional emergency risk model,the new risk model can reduce the unit transportation cost by 24.90%and the emergency search time by 20.64%.The recommended augmented weighted Chebyshev method can solve optimization problems of different scales within 16 seconds.
traffic engineeringemergency rescue and schedulingmulti-objective optimizationheavy rainstormssubwayemergency rescue risk
万方数据
维普
