A method of bus punctuality prediction based on GPS data

Abstract

The invention discloses a bus punctuality prediction method based on GPS data, and belongs to the field of public transport information processing. The method comprises the steps: the collection and processing of bus GPS data and departure data, the determining of a bus punctuality value, the extraction of bus punctuality influence factors and the prediction of bus punctuality. The method employs an SVM (support vector machine) algorithm. The method combines the bus GPS data, extracts the track information and departure information of a plurality of buses, is convenient and quick, and reduces the data processing cost. Moreover, the method employs the SVM algorithm for the two-class prediction of the punctual conditions of a downstream stop, and enables passengers to know the bus operation conditions better to reasonably adjust the travel time. Meanwhile, the method enables a bus operation department to be able to timely adjust the departure interval of buses, and improves the bus service level.

Description

Technical field [0001] The invention relates to the technical field of public transportation information processing, in particular to a method for predicting public traffic on time based on GPS data. Background technique [0002] The urban public transportation system is a complex system that dynamically interacts with people, vehicles, roads, information and rules. It is the lifeline of the city and carries the daily operation of the city. Therefore, a stable and efficient road transportation system is very important to the city. Smooth and reliable urban traffic operation is not only the basis for travelers to achieve their travel goals, but also the goal of urban traffic managers. However, when the urban transportation system is in operation, it is often disturbed by random factors such as bad weather, traffic time, traffic accidents, etc., which increases the uncertainty in the travel process of travelers, reduces the capacity of road facilities, and makes the purpose of trav...

AI Technical Summary

Problems solved by technology

At present, the research on bus punctuality mainly focuses on the reliability of travel time and the punctuality of the whole bus, and there are few detailed studies on the operation of buses between stations.

Moreover, when analyzing the bus travel time, in the past, manual field surveys were often used to obtain data, which was time-consuming, laborious and inaccurate

As my country's GPS technology is more widely used, a large amount of data collected in real time has not been effectively utilized

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