Design and Implementation of an ML and IoT Based Adaptive Traffic-Management System for Smart Cities

Design and Implementation of an ML and IoT Based Adaptive Traffic-Management System for Smart Cities

The rapid growth in the number of vehicles has led to traffic congestion, pollution, and delays in logistic transportation in metropolitan areas. IoT has been an emerging innovation, moving the universe towards automated processes and intelligent management systems. This is a critical contribution t...

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Bibliographic Details
Main Authors: Umesh Kumar Lilhore, Agbotiname Lucky Imoize, Chun-Ta Li, Sarita Simaiya, Subhendu Kumar Pani, Nitin Goyal, Arun Kumar, Cheng-Chi Lee
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
adaptive traffic management system
internet of things
machine learning
DBSCAN method
intelligent traffic management
smart road
Online Access:https://www.mdpi.com/1424-8220/22/8/2908

Internet

https://www.mdpi.com/1424-8220/22/8/2908

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