Bus GPS data complementing method and complementing system based on abnormal data processing

Abstract

The invention discloses a bus GPS data complementing method and complementing system based on abnormal data processing. A data acquisition module receives bus historical GPS data; an abnormal data filtering processing module performs filtering processing on the bus historical GPS data to obtain the filtered bus GPS data; a missing data check module is used for checking the filtered bus GPS data tofind a station missing condition of the bus GPS data; and a missing data complementing module is used for performing station complementing on the bus GPS data missing stations. The invention can alsocalculate the average waiting time of each bus station at morning and evening peak periods and average periods based on the complemented data, or calculate the average travel time between every two bus stations at morning and evening peak periods and average periods based on the complemented data. The bus GPS data complementing method and complementing system based on the abnormal data processingcan improve the standardization and accuracy of the bus GPS data; and the labor cost is low.

Description

technical field [0001] The invention relates to the technical field of public transportation information processing, in particular to a bus GPS data complementing method and complementing system based on abnormal data processing. Background technique [0002] GPS (Global Position System, Global Positioning System) technology has been widely used in the on-board navigation system of public transportation vehicles, which can better realize real-time scheduling of public transportation vehicles and provide assistance for dynamic monitoring and management of public transportation vehicles. The trajectories of public transport vehicles are all over the entire urban road network, and the public transport vehicles already loaded with GPS not only provide the information of the GPS system itself, but also reflect the status information of the road network to a certain extent. From the perspective of traffic information processing and big data mining, the GPS data of bus vehicles can...

AI Technical Summary

Problems solved by technology

However, due to the errors of the GPS system itself, such as the stability of the GPS system (such as time synchronization stability) and reliability problems (such as terrain, terrain, high-rise buildings, etc., which interfere with GPS signal reception), the bus is running The GPS data in the process is lost instantaneously, the data is repeated, and due to the problems of the output of the bus service system (such as the output of data information that is not related to the GPS data itself, the format of the output data is not uniform, etc.), the further use and development of the bus GPS data are caused. troubled

In the era of big data, if there is a huge amount of data and cannot generate more value from these data, it will undoubtedly cause great waste

The existing travel time prediction methods between bus stops usually ignore the abnormal data and directly eliminate the abnormal data, resulting in inaccurate prediction results; or the data can only be used for travel time prediction without further value, resulting in waste of resources

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