Smart City Gnosys

Smart city article details

Title	Ai Applications In Reducing Traffic Congestion: Opportunities, Challenges And Future Directions
ID_Doc	6916
Authors	Ferraz A.; Al-Khazraji A.
Year	2024
Published	IET Conference Proceedings, 2024, 37
DOI	http://dx.doi.org/10.1049/icp.2025.0816
Abstract	Traffic congestion is a major issue for mobility, air quality, productivity, and quality of life for city residents. Smart cities offer an opportunity to leverage emerging technologies like artificial intelligence (AI) to address transportation challenges in a more intelligent, data-driven manner. This paper surveys three AI applications that have the potential to alleviate traffic congestion. This includes traffic routing, traffic signal control, and variable speed limit (VSL). It also reviews advancements in these domains and presents innovative solutions and strategies. The use of AI techniques is explored to optimize traffic flow, reduce congestion, and improve transportation efficiency. This article states the contributions, limitations, and future directions of AI-Based traffic management. © The Institution of Engineering & Technology 2024.
Author Keywords	AI; smart transportation; traffic management; traffic routing; traffic signal; variable speed limit

Similar Articles

Id	Similarity	Authors	Title	Published
38883	0.922	Kumar A.; Batra N.; Mudgal A.; Yadav A.L.	Navigating Urban Mobility: A Review Of Ai-Driven Traffic Flow Management In Smart Cities	2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2024 (2024)
7046	0.906	Rathore S.P.S.; Farhaoui Y.; Aniebonam E.E.; Nagpal T.; Thanuja M.; Kaushik P.	Ai-Driven Traffic Congestion Management: A Predictive Analytics Approach For Smart Cities	2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025 (2025)
7048	0.901	Ponnusamy S.; Chourasia H.; Rathod S.B.; Patil D.	Ai-Driven Traffic Management Systems Reducing Congestion And Improving Safety In Smart Cities	Smart Cities: Blockchain, AI, and Advanced Computing (2024)
2745	0.9	Choudhary S.; Ali S.S.; Babu N.R.; Sharma H.; Kaliraman B.; Dhankhar Y.	A More Efficient Way To Control Traffic Lights Through Ai-Led Smart City Management	Proceedings - International Conference on Technological Advancements in Computational Sciences, ICTACS 2023 (2023)
32599	0.898	Akour I.; Nuseir M.T.; Al Kurdi B.; Alzoubi H.M.; Alshurideh M.T.; AlHamad A.Q.M.	Intelligent Traffic Congestion Control System In Smart City	Studies in Big Data, 117 (2024)
44463	0.895	Tyagi S.; Kathuria S.; Rajashekar N.; Mohammed A.F.K.; Rakesh S.; Lakhanpal S.; Singh C.	Real-Time Traffic Control Using Artificial Intelligence In Smart Cities	Recent Trends in Engineering and Science for Resource Optimization and Sustainable Development (2025)
7619	0.894	Kommineni M.; Baseer K.K.	An Architecture And Review Of Intelligence Based Traffic Control System For Smart Cities	EAI Endorsed Transactions on Energy Web, 11 (2024)
41789	0.891	Bawaneh M.; Simon V.	Performance Evaluation Of Traffic Congestion Detection Algorithms In Real-Life Scenarios	2022 21st International Symposium INFOTEH-JAHORINA, INFOTEH 2022 - Proceedings (2022)
55589	0.89	Sharma P.; Sharma S.; Pratap R.; Chauhan R.; Verma S.	The Future Of Traffic Management: Embracing Ai For Sustainable Urban Mobility	2025 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2025 (2025)
23044	0.887	Revathy G.; Thangavel M.; Senthilvadivu S.; Savithri M.C.	Enabling Smart Cities: Ai-Powered Prediction Models For Urban Traffic Optimization	4th International Conference on Sentiment Analysis and Deep Learning, ICSADL 2025 - Proceedings (2025)