This project implements a stochastic traffic flow model that uses Markov chains to predict traffic states (Free Flow, Congested Flow, Heavy Congestion) based on various environmental factors including ...
Abstract: Accurate traffic forecasting has become necessary due to the increase in vehicles on the road and it’s potential use in autonomous vehicles. Although many traffic forecasting algorithms have ...
This repository contains an implementation of the STFGNN (Spatio-Temporal Fusion Graph Neural Network) for road traffic flow prediction. The primary goal is to simultaneously model spatial ...
Privacy-Preserving Sparse Traffic Flow Prediction in IIoT: A Three-Tier Federated Learning Framework
Abstract: Traffic flow prediction, as a typical application of Industrial Internet of Things (IIoT) in urban infrastructure, faces critical security challenges. Existing privacy-preserving methods in ...
Have you ever wondered how city traffic would look without traffic control? Traffic control systems, such as the traffic lights at intersections, play a crucial role in bringing order to what would ...
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