Bus arrival information prediction method and device

Abstract

The embodiment of the invention provides a bus arrival information prediction method, and the method is characterized in that the method comprises the steps: obtaining predicted arrival information and actual arrival information; calculating the bus arrival time accuracy through the predicted arrival information and actual arrival information; calculating bus spatial dimension evaluation indexes through employing a predicted number of stops, the predicted distance and the predicted longitude and latitude information of a bus, wherein the bus spatial dimension evaluation indexes comprise the bus stop number increase occurrence rate, the bus distance increase occurrence rate and the bus loss rate; and enabling the corresponding prediction arrival information as to-be-published target information when the bus arrival time accuracy and the bus spatial dimension evaluation indexes meet a preset condition. The method provides a reference for the improvement of a model through verifying the accuracy of the prediction results of various types of model systems, finally enables a prediction system to provide real-time and accurate data service, and improves the bus travel attraction.

Description

technical field [0001] The present application relates to the technical field of intelligent transportation, and in particular, to a method for predicting bus arrival information and a device for predicting bus arrival information. Background technique [0002] With the continuous deepening of urbanization, modernization, and motorization, the number of motor vehicles has increased rapidly, and the travel needs of citizens are diversified and personalized, and urban traffic pressure is increasing. The development experience of large cities at home and abroad shows that in order to solve the urban traffic problems, especially the traffic problems of extra-large international cities, the important role of public transportation must be brought into full play. Bus arrival time service is one of the key services to improve the attractiveness of public transport. By providing real-time vehicle arrival information, users can better arrange their own public transportation itinerari...

AI Technical Summary

Problems solved by technology

Most of the current arrival accuracy evaluation methods use the site experience method, that is, to test the accuracy of the bus arrival by way of road test sampling. When the system predicts that the bus will arrive at the station, check whether the bus actually arrives. This method Only short-distance bus arrival predictions can be evaluated, which consumes a lot of manpower and material resources, the number of samples taken is limited, the accuracy evaluation coverage is low, and the evaluation index is single

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