GPS-BASED TRAFFIC CONGESTION PREDICTION MODEL

Abstract

This article presents a set of methods and models for predicting traffic congestion based on the analysis of GPS tracks and road network data. It examines the stages of data preprocessing, the construction of speed estimation models, and congestion classification. A system for automati-cally updating information in real time is proposed, enabling timely responses to changing traffic conditions, reducing congestion and improving traffic safety