Communication and Localization Techniques in VANET Network for Intelligent Traffic System in Smart Cities: A Review

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Communication and Localization Techniques in VANET Network for Intelligent Traffic System in Smart Cities: A Review

Chehri, Abdellah / Quadar, Nordine / Saadane, Rachid

The combination of automotive technology and communication networks enables novel systems that improve safety, efficiency, and performance can significantly improve comfort in daily traffic. Vehicle-to-vehicle communication enables new applications through the direct exchange of information between vehicles. In recent decades, this has been intensively researched and standardized technology. The cars thus capture other road users in their environment in smart cities, even beyond visual obstacles. This technology includes digital, wireless communication between vehicles (V2V) or cars and traffic infrastructure (V2I), which is collectively referred to as V2X. V2X communication has a more extended capability range than ultrasonic sensors, cameras, and radars, and can, therefore, alert drivers of dangerous situations earlier and more effectively. Moreover, V2V can be combined with radars and cameras to achieve even greater safety. Vehicle automation and driver assistance systems are also driving forward the promising technology. This paper evaluates state-of-the-art vehicle communication and localization techniques and investigates their applicability on VANET networks for intelligent traffic system.

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Document information

Title :

Communication and Localization Techniques in VANET Network for Intelligent Traffic System in Smart Cities: A Review

Additional title:

Smart Innovation, Systems and Technologies

Contributors:

Qu, Xiaobo (editor) / Zhen, Lu (editor) / Howlett, Robert J. (editor) / Jain, Lakhmi C. (editor) / Chehri, Abdellah (author) / Quadar, Nordine (author) / Saadane, Rachid (author)

Published in:

Smart Transportation Systems 2020 ; Chapter : 15 ; 167-177

Smart Innovation, Systems and Technologies ; 185

Publication date :

2020-05-31

Size :

11 pages

ISBN :

978-981-15-5270-0 , 978-981-15-5269-4

ISSN :

2190-3026 , 2190-3018

DOI :