Smart City Gnosys

Smart city article details

Title	Edge Computing Ai-Iot Integrated Energy-Efficient Intelligent Transportation System For Smart Cities
ID_Doc	21743
Authors	Chavhan S.; Gupta D.; Gochhayat S.P.; Chandana B.N.; Khanna A.; Shankar K.; Rodrigues J.J.P.C.
Year	2022
Published	ACM Transactions on Internet Technology, 22, 4
DOI	http://dx.doi.org/10.1145/3507906
Abstract	With the advancement of information and communication technologies (ICTs), there has been high-scale utilization of IoT and adoption of AI in the transportation system to improve the utilization of energy, reduce greenhouse gas (GHG) emissions, increase quality of services, and provide many extensive benefits to the commuters and transportation authorities. In this article, we propose a novel edge-based AI-IoT integrated energy-efficient intelligent transport system for smart cities by using a distributed multi-agent system. An urban area is divided into multiple regions, and each region is sub-divided into a finite number of zones. At each zone an optimal number of RSUs are installed along with the edge computing devices. The MAS deployed at each RSU collects a huge volume of data from the various sensors, devices, and infrastructures. The edge computing device uses the collected raw data from the MAS to process, analyze, and predict. The predicted information will be shared with the neighborhood RSUs, vehicles, and cloud by using MAS with the help of IoT. The predicted information can be used by freight vehicles to maintain smooth and steady movement, which results in reduction in GHG emissions and energy consumption, and finally improves the freight vehicles' mileage by reducing traffic congestion in the urban areas. We have exhaustively carried out the simulation results and demonstrated the effectiveness of the proposed system. © 2022 Association for Computing Machinery.
Author Keywords	Artificial intelligence; cloud computing; cyber physical systems; edge computing; Internet of Things; ITS; MAS

Similar Articles

Id	Similarity	Authors	Title	Published
33300	0.934	García-Díaz V.; Lin J.C.-W.; Molinera J.A.M.	Introduction To The Special Section On Edge Computing Ai-Iot Integrated Energy Efficient Intelligent Transportation System For Smart Cities	ACM Transactions on Internet Technology, 22, 4 (2023)
1487	0.885	El Azzaoui A.; Jeremiah S.R.; Xiong N.N.; Park J.H.	A Digital Twin-Based Edge Intelligence Framework For Decentralized Decision In Iov System	Information Sciences, 649 (2023)
21768	0.875	Rajagopal S.; Tripathi P.K.; Deshmukh M.; Choudari S.; Kumar A.; Long C.S.	Edge Computing- Smart Cities: Optimizing Data Processing & Resource Management In Urban Environments	Journal of Information Systems Engineering and Management, 10 (2025)
56174	0.873	Shen, XH; Yu, HT; Liu, XY; Bin, Q; Luhach, AK; Saravanan, V	The Optimized Energy-Efficient Sensible Edge Processing Model For The Internet Of Vehicles In Smart Cities	SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 47 (2021)
21726	0.864	Badidi E.	Edge Ai And Blockchain For Smart Sustainable Cities: Promise And Potential	Sustainability (Switzerland), 14, 13 (2022)
35879	0.863	Chaymae T.; Mhamed R.; Soumia Z.	Machine Learning And 5G Edge Computing For Intelligent Traffic Management	International Journal of Advanced Computer Science and Applications, 16, 6 (2025)
23212	0.863	Holmes T.; McLarty C.; Shi Y.; Bobbie P.; Suo K.	Energy Efficiency On Edge Computing: Challenges And Vision	Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference, 2022-November (2022)
8433	0.863	Udayakumar R.; Mahesh B.; Sathiyakala R.; Thandapani K.; Choubey A.; Khurramov A.; Alzubaidi L.H.; Sravanthi J.	An Integrated Deep Learning And Edge Computing Framework For Intelligent Energy Management In Iot-Based Smart Cities	International Conference for Technological Engineering and its Applications in Sustainable Development, ICTEASD 2023 (2023)
9789	0.863	Lakshumiah A.; Malaiarasan A.; Packianathan R.; Natarajan S.K.; Arumugam G.	Application Of Artificial Intelligence (Ai) Techniques For Green Transportation In Smart City	Lecture Notes in Intelligent Transportation and Infrastructure, Part F64 (2025)
54103	0.863	Kanwal, M; Malik, AW; Rahman, AU; Mahmood, I; Shahzad, M	Sustainable Vehicle-Assisted Edge Computing For Big Data Migration In Smart Cities	IEEE INTERNET OF THINGS JOURNAL, 7, 3 (2020)