Cooperative Optimization of Bus-Subway-Shared Bicycle Based on Uncertainty Theory

Abstract

This research considered the uncertainty of the operation time of shared bicycle, constructed the urban coupling network, and established the optimization model for the cooperative operation of conventional buses, subways and shared bikes. In the programming model, the optimization objective is to minimize the total travel time of passengers, and by optimizing and adjusting the departure intervals of conventional buses and subways as well as the stopping time of vehicles, the travel efficiency of passengers is improved. The interchange cooperative system composed of Nanchang Metro Line 1 and Bus 520 and the surrounding shared bicycle concentration area was taken as the case study. According to the optimization results, the passenger waiting time, passenger transfer time, and total passenger on-board time are effectively reduced by 21.5%, 23.2%, and 7.37%; ultimately, the total travel time is reduced by 8.2% at a confidence level of 95%. Case analyses show that the conventional bus stopping time has the greatest impact on the total travel time of the passengers as compared to the other variables. The research is of positive practical significance for promoting the efficient and coordinated development of urban transportation networks and facilitating the travel of residents.