Guest Editorial Introduction to the Special Issue on Cognitive Networking for Intelligent Transportation Systems

Yin Zhang; Ala Al-Fuqaha; Hua Wang; Jia Liu

doi:10.1109/TITS.2022.3226340

Guest Editorial Introduction to the Special Issue on Cognitive Networking for Intelligent Transportation Systems

Yin Zhang
, Ala Al-Fuqaha
, Hua Wang
, Jia Liu

University of Electronic Science and Technology of China
Western Michigan University
Victoria University
University West of Florida

Research output: Contribution to journal › Editorial

Abstract

Cognitive networking is expected to analyze and utilize the various information for improving the intelligence of transportation systems. For example, through the Vehicleto-Vehicle (V2V), Infrastructure-to-Vehicle, and Vehicular-to-Infrastructure (V2I) communications, which are the foundation and key support technologies determining the overall performance of advanced Intelligent Transportation Systems (ITS), road safety and traffic efficiency are significantly improved.

Original language	English
Pages (from-to)	1035-1038
Number of pages	4
Journal	IEEE Transactions on Intelligent Transportation Systems
Volume	24
Issue number	1
DOIs	https://doi.org/10.1109/TITS.2022.3226340
Publication status	Published - 1 Jan 2023
Externally published	Yes

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10.1109/TITS.2022.3226340

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title = "Guest Editorial Introduction to the Special Issue on Cognitive Networking for Intelligent Transportation Systems",

abstract = "Cognitive networking is expected to analyze and utilize the various information for improving the intelligence of transportation systems. For example, through the Vehicleto-Vehicle (V2V), Infrastructure-to-Vehicle, and Vehicular-to-Infrastructure (V2I) communications, which are the foundation and key support technologies determining the overall performance of advanced Intelligent Transportation Systems (ITS), road safety and traffic efficiency are significantly improved.",

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Guest Editorial Introduction to the Special Issue on Cognitive Networking for Intelligent Transportation Systems

Abstract

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