Method and system for predicting exit stop of passenger bus trip

Abstract

A method and system for predict that stop of passenger bus trip and disembarkation are provide, Based on the passenger historical AFC data, the travel behavior indexes are calculated, the travel characteristics of the card-swiping passengers are analyzed, and the bus travel modes are extracted, then the passenger disembarkation stations are predicted according to the real-time boarding station information, so as to provide customized and intelligent bus travel services for travelers. The passenger bus stop forecasting method and the passenger bus stop forecasting system can provide more targeted and intelligent station forecasting service for passengers, and remarkably improve the user experience of the information service system.

Description

technical field

[0001] The invention relates to a method and system for predicting a passenger bus stop stop. Background technique

[0002] The share rate of ground public transport in most cities in my country is less than 20% on average. Factors such as insufficient infrastructure, unreasonable line network layout, and limited intelligent level of operation and management have directly affected the service level of public transport operations. Weakness is one of the main reasons.

[0003] At present, in the analysis of passenger alighting behavior, the station is mainly used as the analysis unit to estimate the passenger flow of alighting at the station or the travel OD between stations. The obtained index results can meet the management's macro-supervision and planning needs, but it is difficult to apply it to the information service of travelers. As far as travelers are concerned, customized and targeted information is the key to improving their service experience. How...

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