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dc.contributor.authorGupta, Brij B.
dc.contributor.authorAgrawal, Dharma P.
dc.contributor.authorSajjad, Muhammad
dc.contributor.authorSheng, Michael
dc.contributor.authorDel Ser, Javier
dc.date.accessioned2022-11-23T10:12:25Z
dc.date.available2022-11-23T10:12:25Z
dc.date.issued2022-10
dc.identifier.citationGupta, Brij B., Dharma P. Agrawal, Muhammad Sajjad, Michael Sheng, and Javier Del Ser. “Guest Editorial Artificial Intelligence and Deep Learning for Intelligent and Sustainable Traffic and Vehicle Management (VANETs).” IEEE Transactions on Intelligent Transportation Systems 23, no. 10 (October 2022): 19575–77. https://doi.org/10.1109/tits.2022.3208785.en
dc.identifier.issn1524-9050en
dc.identifier.urihttp://hdl.handle.net/11556/1434
dc.description.abstractIntelligence and sustainability are two essential drivers for the development of current and future Intelligent Transportation Systems. On one hand, the complexity of vehicular ecosystems and the inherently risk-prone circumstances under which pedestrian and vehicles coexist call for the endowment of intelligent functionalities in almost all systems and processes participating in such ecosystems. On the other hand, risk may be the most important objective to be guaranteed by the provision of intelligence in ITS, but it is not certainly the only one: when safety is assured, sustainability comes into play, seeking to convey intelligence to the distinct parts composing the ITS landscape with efficiency, minimum carbon footprint, wastage of resources or any other factor affected by the technological empowerment itself.en
dc.language.isoengen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.titleGuest Editorial Artificial Intelligence and Deep Learning for Intelligent and Sustainable Traffic and Vehicle Management (VANETs)en
dc.typearticleen
dc.identifier.doi10.1109/TITS.2022.3208785en
dc.rights.accessRightsopenAccessen
dc.subject.keywordsIntelligent Transportation Systemsen
dc.subject.keywordsCarbon footprinten
dc.subject.keywordsVehicular ecosystemsen
dc.identifier.essn1558-0016en
dc.issue.number10en
dc.journal.titleIEEE Transactions on Intelligent Transportation Systemsen
dc.page.final19577en
dc.page.initial19575en
dc.volume.number23en


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