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

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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: Goyal, N. (Author), Imoize, A.L (Author), Kumar, A. (Author), Lee, C.-C (Author), Li, C.-T (Author), Lilhore, U.K (Author), Pani, S.K (Author), Simaiya, S. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Accidents
adaptive traffic management system
Adaptive traffic management system
Advanced traffic management systems
Automation
DBSCAN method
Design and implementations
Highway administration
Highway planning
Highway traffic control
Intelligent systems
intelligent traffic management
Intelligent traffic management
intelligent transport system
internet of things
Internet of things
machine learning
Machine learning
Number of vehicles
Rapid growth
Roads and streets
Smart city
smart road
Smart road
Street traffic control
Traffic congestion
Traffic delays
Traffic management systems
Traffic signals
Transport systems
Online Access:View Fulltext in Publisher

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