Analysis of the Effect of Berths on Passenger Boarding Time Using Cellular Automaton Model

Enhancing the capacity of bus station is one of the effective methods to improve the service quality of urban bus system. The current research argued that bus dwell time is mainly dominated by the number of passengers, vehicle types and charging methods. However, the design of the number of berths at bus station is crucial to their service level. The unreasonable design of berths will cause a sharp increase in bus service time. Based on the cellular automata theory, this paper simulates the passenger walking on the platform from the micro perspective, and explores the influence of berth number on passenger boarding time. In addition, an intelligent guidance optimal strategy is proposed for bus station according to the actual situation. Numerical simulation results show that the method can effectively improve the service level of bus station.