Smart City Gnosys

Smart city article details

Title	Advanced Adaptive Traffic Management System For Urban Environments
ID_Doc	6473
Authors	Sai Srujan Reddy P.; Naveen Raj B.U.; Jose N.T.; Belwal M.
Year	2025
Published	3rd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025
DOI	http://dx.doi.org/10.1109/IDCIOT64235.2025.10914977
Abstract	Urban traffic congestion is still a major problem that causes delays, collisions, and wasteful use of resources. Conventional fixed-schedule systems, which frequently exacerbate problems at junctions, U-turns, and pedestrian crossings, are insufficient for dynamic traffic situations. The Smart Dynamic Traffic Management System described in this work makes use of servo motors, proximity sensors and ultrasonic sensors, Arduino microcontrollers, and AI-powered cameras. To improve safety and streamline traffic flow, the system prioritizes emergency vehicles, controls U-turns, dynamically modifies traffic signals based on real-time data, and monitors road conditions. Scalability and adaptability for a range of urban scenarios are ensured by the integration of IoT technology and intelligent intercommunication between crossings. A visualization tool based on Pygame was used to simulate and assess the suggested solution. The findings showed that traffic flow had significantly improved, with an average increase in the exit-to-entry ratio of 30.71% for the three roadways. More specifically, traffic on Road A decreased by 15.28%, on Road B decreased by 31.25% and on Road C decreased by 45.61%. The outcomes confirm just how well the system works for reducing traffic and giving priorities to critical traffic situations, such as emergency response and turning. This system uniquely integrates real-time adaptive traffic control algorithms with IoT and machine learning to dynamically prioritize traffic flow and emergency vehicles, overcoming the limitations of existing static systems. © 2025 IEEE.
Author Keywords	Arduino; IoT; Priortizing Emergency Vehicle; Smart Cities; Traffic Management; Ultrasonic Sensors

Similar Articles

Id	Similarity	Authors	Title	Published
19685	0.916	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)
8388	0.911	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)
33946	0.909	AlMulla K.; Ashkanani S.; Hassan F.; AlMesbahi H.; Alazmi M.; Nadeem M.	Iot-Based Adaptive Traffic Signal Controller To Optimize The Flow Of Traffic And Reduce Congestion	Proceedings of 2024 1st Edition of the Mediterranean Smart Cities Conference, MSCC 2024 (2024)
24036	0.906	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)
34056	0.906	Mutambik I.	Iot-Enabled Adaptive Traffic Management: A Multiagent Framework For Urban Mobility Optimisation	Sensors, 25, 13 (2025)
33809	0.903	Nagarjuna G.R.; Shashidhar R.; Puneeth S.B.; Arunakumari B.N.	Iot Enabled Smart Traffic System For Public And Emergency Mobility In Smart City	Proceedings of the 4th International Conference on IoT in Social, Mobile, Analytics and Cloud, ISMAC 2020 (2020)
18553	0.901	Lilhore U.K.; Imoize A.L.; Li C.-T.; Simaiya S.; Pani S.K.; Goyal N.; Kumar A.; Lee C.-C.	Design And Implementation Of An Ml And Iot Based Adaptive Traffic-Management System For Smart Cities	Sensors, 22, 8 (2022)
8520	0.9	Shamitha C.; Radhika S.; Malathy K.; Ranjith S.; Sasirekha N.	An Intelligent Iot Enabled Traffic Queue Handling System Using Machine Learning Algorithm	Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022 (2022)
44451	0.9	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)
21431	0.897	Le T.V.; Tran H.T.; Le D.L.	Dynamic Traffic Optimization In Smart Cities (Dtos): Integrating Openstreetmap, Iot, And Fog Computing	SN Computer Science, 5, 7 (2024)