AIoT Enabled Traffic Congestion Control System Using Deep Neural Network
Shahan Yamin Siddiqui, Inzmam Ahmad, Muhammad Adnan Khan, Bilal Khan, Muhammad Nadeem Ali, Iftikhar Naseer, Kausar Parveen, Hafiz Muhammad Usama
Abstract
With rapid population growth in cities, to allow full use of modern technology, transportation networks need to be developed efficiently and sustainability. A significant problem in the traffic motion barrier is dynamic traffic flow. To manage traffic congestion problems, this paper provides a metho
Topics & Concepts
Traffic congestionComputer scienceNetwork traffic controlTraffic flow (computer networking)Network congestionArtificial neural networkTransport engineeringTraffic congestion reconstruction with Kerner's three-phase theoryFloating car dataFlow control (data)PopulationComputer networkEngineeringArtificial intelligenceDemographySociologyNetwork packetTraffic Prediction and Management Techniques