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Internet Technol."],"published-print":{"date-parts":[[2022,11,30]]},"abstract":"<jats:p>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\u2019 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.<\/jats:p>","DOI":"10.1145\/3507906","type":"journal-article","created":{"date-parts":[[2022,2,3]],"date-time":"2022-02-03T19:05:56Z","timestamp":1643915156000},"page":"1-18","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":64,"title":["Edge Computing AI-IoT Integrated Energy-efficient Intelligent Transportation System for Smart Cities"],"prefix":"10.1145","volume":"22","author":[{"given":"Suresh","family":"Chavhan","sequence":"first","affiliation":[{"name":"Automotive Research Center, Vellore Institute of Technolog, Vellore, Tamil Nadu, India, and Federal University of Piau\u00ed, Teresina \u2013 PI, Vellore, Tamil Nadu, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3019-7161","authenticated-orcid":false,"given":"Deepak","family":"Gupta","sequence":"additional","affiliation":[{"name":"Maharaja Agrasen Institute of Technology, Delhi, India, and Federal University of Piau\u00ed, Teresina \u2013 PI, Brazil"}]},{"given":"Sarada Prasad","family":"Gochhayat","sequence":"additional","affiliation":[{"name":"Old Dominion University, USA"}]},{"given":"Chandana B.","family":"N.","sequence":"additional","affiliation":[{"name":"Department of Electronics and Electrical Communication Engg., IIT Kharagpur, India"}]},{"given":"Ashish","family":"Khanna","sequence":"additional","affiliation":[{"name":"Maharaja Agrasen Institute of Technology, Delhi, India, and Federal University of Piau\u00ed, Teresina \u2013 PI, Brazil"}]},{"given":"K.","family":"Shankar","sequence":"additional","affiliation":[{"name":"Federal University of Piau\u00ed, Teresina, Brazil"}]},{"given":"Joel J. 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