RT Journal Article
T1 Guest Editorial Artificial Intelligence and Deep Learning for Intelligent and Sustainable Traffic and Vehicle Management (VANETs)
A1 Gupta, Brij B.
A1 Agrawal, Dharma P.
A1 Sajjad, Muhammad
A1 Sheng, Michael
A1 Del Ser, Javier
AB 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.
SN 1524-9050
YR 2022
FD 2022-10-01
LA eng
NO Gupta , B B , Agrawal , D P , Sajjad , M , Sheng , M & Del Ser , J 2022 , ' Guest Editorial Artificial Intelligence and Deep Learning for Intelligent and Sustainable Traffic and Vehicle Management (VANETs) ' , IEEE Transactions on Intelligent Transportation Systems , vol. 23 , no. 10 , pp. 19575-19577 . https://doi.org/10.1109/TITS.2022.3208785
DS TECNALIA Publications
RD 29 sept 2024