| With the rapid development of smart public transportation systems,the level of public transportation information services continues to improve,and public transportation travelers benefit greatly.The concept of Maas puts forward higher requirements for the service level of the public transportation system.Therefore,based on the changes in passenger arrival characteristics under information conditions,this paper studies the calculation method of passenger service capacity at the station by constructing a rolling forecast model of passenger flow for bus station service.First,on the basis of clarifying the characteristics and classification of traffic information,this article analyzes the impact of traffic information on the transportation system,public transport travellers,and public transport system based on the existing research results.At the same time,a data survey plan for passenger arrivals at bus stops and a questionnaire for bus travelers’ intention to choose departure time were designed,and preliminary statistical analysis was performed on the collected data to provide a data basis for in-depth research on the influence of information conditions on passenger arrival characteristics.Secondly,based on the survey data of passenger arrivals at bus stops,the impact of information conditions on passenger arrival characteristics and the differences in passenger arrival characteristics corresponding to different bus lines under information conditions are studied.From this,a hybrid Logit model of traveler’s departure time selection is constructed to analyze the characteristics of traveler’s departure time selection under information conditions,and explain the internal factors of passenger arrival characteristics.Thirdly,from a dynamic point of view,the calculation method of passenger service capacity of platform is optimized,and a rolling forecast model of passenger flow of bus platform service based on passenger arrival characteristics based on historical bus operation status is constructed.Based on this,a calculation method of passenger service capacity of bus platform is proposed.It is verified by a calculation example,which overcomes the problem of insufficient applicability of traditional static algorithms for passenger service capabilities at bus stops.Finally,the Anylogic simulation software is used to construct a simulation analysis model for the passenger service capacity of the bus station to study the difference in the maximum passenger service capacity of the bus station under different passenger arrival characteristics,and the influence of the service level on the maximum passenger service capacity of the bus station. |