Get-on station reckoning method based on one-ticket bus card swiping data

Abstract

The invention relates to a get-on station reckoning method based on one-ticket bus card swiping data. The get-on station reckoning method comprises the following steps that S1, selecting a bus busi from a bus marketing sequence to serve as a research vehicle; s2, dividing the travel record of the busi for one day, and selecting a single travel shift j; s3, dividing the shift j into a plurality ofstation clusters, wherein each station cluster is associated with one getting-on station; s4, determining a reference group in the station cluster and a reference station corresponding to the reference group; s5, judging the advancing direction of the vehicle in the single travel; s6, finding a candidate group, and calculating an associated site by using a front and back short-distance reference group matching constraint method; s7, matching the to-be-determined group according to the minimum deviation rule; s8, repeating the step S3 to the step S7 for all travels of the research vehicle within one day; and S9, repeating the steps S2 to S8 for all buses in the research area. The method can effectively solve the problem of bus getting-on station calculation using the one-ticket system AFC system, and is wide in coverage, low in data requirement and low in calculation cost.

Description

technical field [0001] The invention relates to a boarding station calculation method based on one-ticket bus swiping card data, which belongs to the field of intelligent transportation. Background technique [0002] Calculating the OD matrix (Origin-Destination Matrix) is an important basis for traffic planning and management. However, the traditional way to obtain the OD matrix is ​​through the passenger traffic behavior questionnaire, which often requires a lot of money and manpower, and the survey data is often unreliable due to poor survey organization and irresponsible investigators. This problem has been solved to a large extent with the introduction of urban public transport data, which contains a large amount of spatio-temporal information to construct a more accurate and detailed passenger travel origin-destination matrix. Urban public transport data is the product of the AFC system (Automatic Fare Collection System, public transport automatic fare collection syst...

AI Technical Summary

Problems solved by technology

However, the boarding station estimation method based on the bus GPS cannot be effectively applied to the bus without GPS equipment or the scene where GPS data is missing at the same time.

However, the cluster analysis method based on the swiping card data predicts that there are two problems in the fuzzy cluster boundary and the determination of the corresponding station of the cluster category.

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