Collectively satisfactory urban rail transit dispatching optimization

Because of the city planning, every district has different function, which makes the passenger flow of urban rail transit shows obvious tidal phenomenon during peak hours. To cope with the imbalance of the direction of passenger flow, which leads to the problem of higher operating costs and lower passenger satisfaction, this article puts forward an operation strategy optimization model considering some trains run without load. The optimization is established by optimizing the number of passengers on board trains and empty trains in the upward and downward directions, taking the minimum energy consumption and passengers' waiting time as the objective function, and setting up five constraints in combination with the actual situation of the operation scenario. Finally, taking the weekday evening peak hour passenger flow of Nanning Rail Transit Line 1 as a case study, the genetic algorithm is used to solve the function. The results show that the optimized operation diagram can reduce the waiting time of passengers in the main direction without increasing the number of vehicles, and at the same time reduce the total energy consumption of train traction, which is more collectively satisfied by the operators and passengers. Compared with the actual operation diagram, the optimized scheme achieves a reduction of 6.67% in the total energy consumption of train traction and 14.29% in the waiting time of passengers in the main direction separately, which improves the satisfaction of passengers and operators.