Parallel Calculation and Simulation of Urban Rail Transport Train Operation Based on GA

Urban rail train is one of the main modes of transportation in modern cities, and the calculation of train operation is an important work in the design of urban rail transport system. A good design of the train running process is the basic requirement to better meet the transportation demand and manage the rail transport system. This paper mainly studies the automatic adjustment method based on genetic algorithm (GA) when the actual train diagram of urban rail transport deviates from the planned train diagram. Based on the train dynamics theory, the train running time is divided into constraints, and the improved GA is used to establish a single train energy-saving operation control model. By reasonably grouping urban rail trains, the regenerative braking energy utilization is transformed into the time overlapping problem between the braking trains and other accelerating trains in the group. By improving the GA, the working condition sequence of the trains in the group is searched and optimized, and a multi-train energy-saving operation scheduling scheme is established.