Smart City Gnosys

Smart city article details

Title Overview Of Road Traffic Management Solutions Based On Iot And Ai
ID_Doc 41151
Authors Ouallane A.A.; Bahnasse A.; Bakali A.; Talea M.
Year 2021
Published Procedia Computer Science, 198
DOI http://dx.doi.org/10.1016/j.procs.2021.12.279
Abstract In recent decades the number of vehicles on the world's roads has continued to increase. However, road capacity does not develop at the same rate, which generates a considerably increased congestion rate. To minimize this difficult problem, the researchers opted for intelligent and efficient use of existing infrastructure through adaptive traffic management. The various recent proposed approaches have been based on new technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and Big Data. In this paper a global vision on various road traffic management solutions proposed in the literature is introduced, a classification and an evaluation of these road traffic management solutions are proposed. In particular, we start by presenting routing mechanisms, then solutions that are based on the use of traffic lights, then approaches that aim to manage network traffic. We discuss these solutions thereafter. Finally, we present new directions for future research on urban road traffic management. © 2021 Elsevier B.V.. All rights reserved.
Author Keywords Artificial intelligence; Intelligent Transportation Systems; Internet of Things; Smart cities; Traffic management


Similar Articles


Id Similarity Authors Title Published
55589 View0.921Sharma P.; Sharma S.; Pratap R.; Chauhan R.; Verma S.The Future Of Traffic Management: Embracing Ai For Sustainable Urban Mobility2025 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2025 (2025)
8388 View0.911Bolla D.R.; Raj A.; Suhane H.; Ranjan M.; Chavhan S.An Innovative Road And Traffic Safety Management System Using IotProceedings - 2024 2nd International Conference on Advanced Computing and Communication Technologies, ICACCTech 2024 (2024)
19433 View0.909Al-Jawahry H.M.Developing An Intelligent Traffic Management System For Smart Cities Through The Integration Of Machine Learning And Iot TechnologiesLecture Notes in Networks and Systems, 1306 LNNS (2025)
8520 View0.908Shamitha C.; Radhika S.; Malathy K.; Ranjith S.; Sasirekha N.An Intelligent Iot Enabled Traffic Queue Handling System Using Machine Learning AlgorithmProceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022 (2022)
33582 View0.904Rout S.K.; Sahu B.; Mohapatra P.K.; Mohanty S.N.; Sharma A.K.Iot And An Intelligent Cloud-Based Framework To Build A Smart City Traffic Management SystemEnabling Technologies for Effective Planning and Management in Sustainable Smart Cities (2023)
24036 View0.904Kabir Md.H.; Islam Md.S.Enhancing Traffic Flow And Reducing Congestion: A Smart City Approach With An Iot-Based Intelligent Traffic Management System2024 International Conference on Innovations in Science, Engineering and Technology: Innovative Technologies for Global Solutions, ICISET 2024 (2024)
24065 View0.901Moumen I.; Abouchabaka J.; Rafalia N.Enhancing Urban Mobility: Integration Of Iot Road Traffic Data And Artificial Intelligence In Smart City EnvironmentIndonesian Journal of Electrical Engineering and Computer Science, 32, 2 (2023)
34032 View0.9Bhura A.; Sahoo P.; Kumar A.; Choudhary U.Iot-Based Vehicle Class Detection For Smart Traffic ControlLecture Notes in Networks and Systems, 1117 LNNS (2024)
19685 View0.898Manju T.; Sundar S.; Edwin Richard P.; Vishnu Vardhan R.; Pavithran M.Development Of Dynamic Traffic Control Based On Congestion Level Using Iot2025 International Conference on Computing and Communication Technologies, ICCCT 2025 (2025)
6910 View0.898Dankan Gowda V.; Yogi K.S.; Srinivas I.V.; Kumar B.K.; Srinivas D.; Sudhakar Reddy N.Ai And Machine Learning For Intelligent Traffic Management In Iot-Connected Cities2024 Asian Conference on Intelligent Technologies, ACOIT 2024 (2024)