Bus Rapid Transit Passengers' Card Data Research Of Chengdu City

Because of the flexibility of bus scheduling,the operating information is difficult to collect through the gate.This paper only rely on the card data to calculate bus operating information,according to some analysis of the resulting data to evaluate bus service and provide some suggestions on bus operation management.In this paper,the author use Matlab 2012b for data processing and algorithm construction and implementation,using SPSS Statistics 22 for statistical analysis of passenger flow.The innovative work has three aspects as follows:First,the author has no access to GPS and other kind of data,so this paper only uses Chengdu City Bus Rapid Transit Passenger card data within a week.After data acquisition,and time division,operation information of the bus which is difficult to obtain is calculated,including vehicle number,operation schedule and so on.Second,all three kinds of load rate can be calculated according to the operating information.Then the statistic of direction of passengers and passengers flow can be estimated.After that,selecting a representative site in every region and using clustering method to predict passenger flow of other sites.The feasibility and veracity of the results can be proved by comparing the forecasting data and data of other dates.Third,according to the operating information to calculate the waiting time,load rate and travel time of every passenger during their trip.These can be seen as several important indicators of passenger satisfaction.After the statistical analysis of the indicators,the K-means method is used to classify the passengers into different categories in order to distinguish those who have a poor traveling experience.Quantitative data is better for bus optimization and management than traditional survey data.