Automatic fare collection system based passenger path selection analyzing method

Abstract

The invention discloses an automatic fare collection system based passenger path selection analyzing method. The method includes S1, performing road network construction according to a rail traffic network and obtaining a path set; S2, screening the path set according to a passenger travel time constraint condition and obtaining an effective path set; S3, according to passenger path selection influence factors, establishing passenger path selection evaluation model based on an effect maximization theory; S4, solving the evaluation model and obtaining passenger path selection probability distribution. According to the invention, based on a large amount of data of the automatic fare collection system and through comprehensive analysis of influence factors influencing passenger path selection, the passenger path selection evaluation model is established. Through solving parameters of the model, the probability distribution of passenger path selection is obtained, so that accurate allocation of rail traffic passenger flows is achieved.

Description

technical field [0001] The invention relates to the field of passenger route selection analysis methods. More specifically, it relates to a passenger route selection analysis method based on an automatic fare collection system. Background technique [0002] With the continuous development of the domestic economy and the acceleration of the urbanization process, the traffic problem has become the main "bottleneck" of the sustainable development of major cities. Prioritizing the development of public transportation is an important measure to alleviate the urban traffic problem. As an important part of the public transportation system, urban rail transit has become a good choice to support the sustainable development of urban transportation due to its advantages of large capacity, high speed, good safety, punctuality, energy saving and environmental protection. With the continuous advancement of urban rail transit construction, the urban rail transit network has gradually form...

AI Technical Summary

Problems solved by technology

A large amount of AFC data stores the daily travel process information of passengers, including departure and arrival time, location and other data, but there is no record of the specific route chosen by passengers on the network, which brings certain troubles to transportation organization and ticket sorting work

Although the AFC system has solved the collection and statistics of traditional passenger data to a certain extent, there are not many studies on the intrinsic characteristics of passenger travel behavior under large-scale AFC data.

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