Guest editorial artificial intelligence and deep learning for intelligent and sustainable traffic and vehicle management (VANETs)

Brij B. Gupta, Dharma P. Agrawal, Muhammad Sajjad, Michael Sheng, Javier Del Ser

Research output: Contribution to journalEditorialpeer-review

3 Citations (Scopus)

Abstract

Intelligence 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.
Original languageEnglish
Pages (from-to)19575-19577
Number of pages3
JournalIEEE Transactions on Intelligent Transportation Systems
Volume23
Issue number10
DOIs
Publication statusPublished - Oct 2022

Fingerprint

Dive into the research topics of 'Guest editorial artificial intelligence and deep learning for intelligent and sustainable traffic and vehicle management (VANETs)'. Together they form a unique fingerprint.

Cite this