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

• Published in: Sensors (Basel, Switzerland) Vol. 22; no. 8; p. 2908
• Main Authors: Lilhore, Umesh Kumar, Imoize, Agbotiname Lucky, Li, Chun-Ta, Simaiya, Sarita, Pani, Subhendu Kumar, Goyal, Nitin, Kumar, Arun, Lee, Cheng-Chi
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 10.04.2022; MDPI
• Subjects: Accidents; adaptive traffic management system; Agricultural production; Architecture; Automobiles; Cities; Collaboration; Communication; DBSCAN method; Embedded systems; Infrastructure; Innovations; intelligent traffic management; Internet of Things; Machine Learning; Outdoor air quality; Roads & highways; Sensors; Smart cities; smart road; Strategic planning (Business); Surveillance; Traffic congestion; Traffic control; Traffic flow; Transportation; Transportation planning; Urban areas; Vehicles; Cities; Germany; India; smart road; DBSCAN method; intelligent traffic management; internet of things; intelligent transport system; machine learning; adaptive traffic management system

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...