A Method for Repairing Missing Data of Vehicle Announcement Stations in Urban Public Transport System Based on Maximum Probability Estimation

Abstract

The invention provides a method for repairing vehicle-mounted station reporting missing data in a urban public transportation system based on maximum probability estimation aiming at the problem of data missing existing in a urban public transportation vehicle-mounted station reporting system. The method comprises the steps that a maximum probability estimation model taking travel time as a posterior condition parameter set is constructed by analyzing the characteristics of the missing data and the card swiping behavioral characteristics of public transportation passengers and combining with historical data, and the missing data of automatic station reporting devices in the public transportation system is correctly deduced with the help of the card swiping data of the passengers. By meansof the method, the defect that positioning failure and communication package loss easily occur on the public transportation vehicle-mounted automatic station reporting system due to the influence of urban architecture building shadow effect resulting in incomplete station reporting information and severely affecting subsequent data excavating effect is overcome, the success rate of public transportation trajectory reduction of the passengers is improved, and the information effectiveness of urban public transportation passenger flow distribution research is enhanced.

Description

technical field [0001] The invention relates to the technical field of intelligent public transportation, and relates to a method for repairing missing data of on-vehicle call stations in urban public transportation systems based on maximum probability estimation. Background technique [0002] The distribution data of bus passenger flow is the basis for optimizing the operation and management of urban public transport, the key to restricting the level of urban public transport management, and the focus of urban public transport researchers. For a long time, managers have generally obtained limited bus travel data through sampling surveys, which is time-consuming, laborious and costly. In recent years, with the widespread application of Automated FareCollection (AFC) and Automated Vehicle Locating (AVL), urban public transport systems have accumulated a large amount of operational management data. How to obtain bus passenger flow information at low cost from the existing dat...

AI Technical Summary

Problems solved by technology

Although the data missing rate is less than 10%, the follow-up bus passenger boarding station matching results show that more than 25% of the card swiping data cannot be matched to the boarding station due to missing data

It can be seen that the lack of AVL station reporting data, which is common in the urban public transport system, has significantly affected the process of passenger travel trajectory restoration, and seriously restricted the mining effect of bus passenger flow.

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