Smart City Gnosys

Smart city article details

Title	Fuzzy Based Intelligent Transportation Systems For Smart Cities To Mitigate Road Traffic Congestion
ID_Doc	27576
Authors	Kabir Md.H.; Islam Md.S.; Hoque Md.J.
Year	2024
Published	2024 International Conference on Innovations in Science, Engineering and Technology: Innovative Technologies for Global Solutions, ICISET 2024
DOI	http://dx.doi.org/10.1109/ICISET62123.2024.10941507
Abstract	Traffic congestion in smart cities is a growing concern. This paper explores the application of Fuzzy Logic in Intelligent Transportation Systems (ITS) to address this challenge. Fuzzy logic can handle imprecise and dynamic traffic data and offers advantages over traditional fixed-time signal control. The research proposes a Fuzzy-based ITS framework for dynamically traffic signal control. This framework utilizes real-time sensor traffic data to adjust signal timings, dynamically prioritizing congested areas. The system also incorporates emergency vehicle detection using siren sensors. This ensures priority for emergency vehicles by granting them the right of way. This paper discusses the design of the fuzzy inference system, including the selection of fuzzy variables and membership functions. The effectiveness of the proposed system is evaluated through simulations, demonstrating its potential to reduce traffic congestion and improve traffic flow in smart cities. © 2024 IEEE.
Author Keywords	Fuzzy Inference Model; Intelligent Transpiration System; Smart Cities; Traffic Congestion

Similar Articles

Id	Similarity	Authors	Title	Published
44539	0.896	Bose A.; Sardar T.H.; Mridha S.K.	Recent Advancements And Future Perspectives Of Dynamic Fuzzy Controllers For Smart Traffic Signaling	Springer Tracts on Transportation and Traffic, 22 (2025)
40938	0.892	Fathollahzadeh P.; Yari A.	Optimizing Urban Traffic Flow In Smart Cities: A Fuzzy Goal Programming Approach	11th International Symposium on Telecommunication: Communication in the Age of Artificial Intelligence, IST 2024 (2024)
24036	0.885	Kabir Md.H.; Islam Md.S.	Enhancing Traffic Flow And Reducing Congestion: A Smart City Approach With An Iot-Based Intelligent Traffic Management System	2024 International Conference on Innovations in Science, Engineering and Technology: Innovative Technologies for Global Solutions, ICISET 2024 (2024)
722	0.884	Jamshidnejad A.; De Schutter B.	A Combined Probabilistic-Fuzzy Approach For Dynamic Modeling Of Traffic In Smart Cities: Handling Imprecise And Uncertain Traffic Data	Computers and Electrical Engineering, 119 (2024)
32873	0.88	Tchuitcheu W.C.; Bobda C.; Pantho M.J.H.	Internet Of Smart-Cameras For Traffic Lights Optimization In Smart Cities	Internet of Things (Netherlands), 11 (2020)
6473	0.877	Sai Srujan Reddy P.; Naveen Raj B.U.; Jose N.T.; Belwal M.	Advanced Adaptive Traffic Management System For Urban Environments	3rd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025 (2025)
19685	0.873	Manju T.; Sundar S.; Edwin Richard P.; Vishnu Vardhan R.; Pavithran M.	Development Of Dynamic Traffic Control Based On Congestion Level Using Iot	2025 International Conference on Computing and Communication Technologies, ICCCT 2025 (2025)
44451	0.872	Jain N.; Parwanda R.; Chauhan A.	Real-Time Smart Traffic Control And Simulation: An Approach For Urban Congestion Management	2023 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2023 (2023)
1720	0.87	Gamel S.A.; Saleh A.I.; Ali H.A.	A Fog-Based Traffic Light Management Strategy (Tlms) Based On Fuzzy Inference Engine	Neural Computing and Applications, 34, 3 (2022)
40921	0.87	Khalid M.Z.; Tanveer A.; Farrukh M.H.M.; Ahmad S.; Ejaz H.	Optimizing Traffic Flow: Utilizing Ir And Load Cell Sensors For Cost-Effective Traffic Congestion Alleviation At Smart City Intersections	Engineering Proceedings, 56, 1 (2023)