Using satellite monitoring and statistical data to predict arrival time of city public transport
- 1 July 2015
- journal article
- Published by Pleiades Publishing Ltd in Pattern Recognition and Image Analysis
- Vol. 25 (3) , 385-388
Abstract
In this paper we propose an algorithm for predicting arrival times of city public transport based on the linear regression model and using real-time GPS/GLONASS data, history data, and timetable data. The algorithm is studied using Samara public transport data.Keywords
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