Smart City Gnosys

Smart city article details

Title	Iot-Based Adaptive Traffic Signal Controller To Optimize The Flow Of Traffic And Reduce Congestion
ID_Doc	33946
Authors	AlMulla K.; Ashkanani S.; Hassan F.; AlMesbahi H.; Alazmi M.; Nadeem M.
Year	2024
Published	Proceedings of 2024 1st Edition of the Mediterranean Smart Cities Conference, MSCC 2024
DOI	http://dx.doi.org/10.1109/MSCC62288.2024.10696998
Abstract	The traffic management system is a fundamental element of a Smart city, as the growing population increases road traffic. We present an adaptable traffic light control system that adapts the timing of traffic lights in real-time according to the congestion level to improve traffic flow at intersections and reduce waiting time. The proposed system uses ultrasonic sensors to measure the queue length indicating congestion, data analysis, and smart algorithms to adjust the traffic signal's timing. All the signals at the intersection are allocated a fixed default green time of 60 seconds. The proposed controller varies the time of the signals adapting to the queue length. A working prototype was developed, and system performance was evaluated. The proposed system improved the traffic flow and reduced the wait time at the intersection. An accompanying smartphone application offers real-time information on congestion levels at various intersections, aiding users in making informed decisions about their travel routes. ©2024 IEEE.
Author Keywords	Adaptive controller; IoT; road congestion; smart cities; traffic signals; ultrasonic sensors

Similar Articles

Id	Similarity	Authors	Title	Published
8703	0.913	Aleko D.R.; Djahel S.	An Iot Enabled Traffic Light Controllers Synchronization Method For Road Traffic Congestion Mitigation	5th IEEE International Smart Cities Conference, ISC2 2019 (2019)
6473	0.909	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)
7913	0.908	Dabran I.; Hunter B.	An Efficient Traffic Control Management In The Smart City	2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2019 (2019)
24036	0.908	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)
19685	0.905	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)
48805	0.896	Djuana, E; Rahardjo, K; Gozali, F; Tan, S; Rambung, R; Adrian, D	Simulating And Evaluating An Adaptive And Integrated Traffic Lights Control System For Smart City Application	4TH INTERNATIONAL SEMINAR ON SUSTAINABLE URBAN DEVELOPMENT, 106 (2018)
8388	0.892	Bolla D.R.; Raj A.; Suhane H.; Ranjan M.; Chavhan S.	An Innovative Road And Traffic Safety Management System Using Iot	Proceedings - 2024 2nd International Conference on Advanced Computing and Communication Technologies, ICACCTech 2024 (2024)
6216	0.889	Mansurova M.; Belgibaev B.; Zhamangarin D.; Zholdas N.	Adaptive City Traffic Lights As Collective Iot Devices	Studies in Systems, Decision and Control, 457 (2023)
34032	0.885	Bhura A.; Sahoo P.; Kumar A.; Choudhary U.	Iot-Based Vehicle Class Detection For Smart Traffic Control	Lecture Notes in Networks and Systems, 1117 LNNS (2024)
40921	0.884	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)