This repository provides an Android application for classifying traffic signs using a pre-trained Convolutional Neural Network (CNN) model. The app is designed for real-time traffic sign recognition ...
Modelling the traffic assignment problem (TAP) is essential to capture the travelers' behaviors and predict the flow distribution in transportation networks. This problem has been extensively studied ...
Is traffic bad in your city? Well, you aren't alone, according to the latest data from one transportation analytics company. INRIX released its Global Traffic Scorecard on Dec. 2 and identified the ...
Traffic State Estimation for Connected Vehicles Using the Second-Order Aw-Rascle-Zhang Traffic Model
Abstract: This paper addresses the problem of traffic state estimation (TSE) in the presence of heterogeneous sensors which include both fixed and moving sensors. Traditional fixed sensors are ...
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