Based on the state estimation of time and space passenger flow,this paper analyzes the relevant technical parameters in the compilation of the operation diagram,and as an optimization variable,considering passenger demand and train energy consumption,taking passenger travel time and operating energy cost as the optimization goal,based on traditional genetic algorithm Improve the adaptive operator to optimize the departure time and interval running time of different peak periods,and adjust the operation diagram to realize the energysaving operation of the subway.The main research contents are as follows:(1)Analyze the relevant influencing factors of the operation diagram compilation from the two aspects of passenger demand and operating conditions;solve the time-space state distribution of the passenger flow state estimation model through heuristic iterative algorithms;analyze the relationship between the departure time of the time-space passenger flow and the passenger travel time demand,The relationship between interval running time and operating energy cost requirements;design time and air passenger flow distribution operation diagram optimization framework.(2)Obtain the passenger capacity of the interval based on the estimation results of the network passenger flow,establish a train energy consumption calculation model,analyze the conversion of train operating conditions,and solve the minimum running time of each interval;simulate and analyze the negative correlation curve of time energy consumption under different passenger loads The energy-saving optimization theory of redistribution of operating time across the entire line is proposed;the optimization goal is to minimize the travel time cost of passengers on the entire line and the total energy consumption of trains across the entire line.Quickly combine to establish an optimization model.(3)The algorithm design of the optimization model of the operation diagram based on the time and space distribution of passenger flow.Generate the initial population solution according to the design coding rules of the departure time of the running diagram,the maximum speed limit of the area and the interval running time.In order to avoid the local optimization of the solution,the crossover operator and the mutation operator are dynamically adjusted,and the departure time and interval running time are finally solved.Optimization Results.Taking a certain domestic route as the background,we developed a running chart optimization software,designed the interval running time and departure time of peak,flat peak and valley peak periods respectively,compiled an energy-saving running chart,compared the test data before and after the optimized running chart,and the result showed the peak running time It is shortened by 1.01%,the valley-peak operation time is extended by 4.03%,the flatpeak operation time is extended by 3.17%,and the total energy consumption of the substation meter is reduced by 7.87%,which verifies the effectiveness of the method in this paper. |