Quality of Assessment in Connected Vehicles

Khan, A., Sharma, S., Goh, C. and Lim, C. L. (2017) Quality of Assessment in Connected Vehicles. In: VEHICULAR 2017, The Sixth International Conference on Advances in Vehicular Systems, Technologies and Applications, Nice, France, 23-27 July 2017, ISBN 9781612085739

[img]
Preview
Text
169738.pdf - Published Version

187kB

Publisher's URL: https://www.thinkmind.org/index.php?view=article&articleid=vehicular_2017_1_20_30029

Abstract

In recent years, there has been a huge interest in Machine-to-Machine connectivity under the umbrella of Internet of Things (IoT). With the UK Government looking to trial autonomous (driverless) cars this year, connected vehicles will play a key part in improving and managing existing road safety and congestion, leading to a new generation of intelligent transport systems. This is also well aligned to the current initiatives by the automotive industry to improve the driver’s experience on-board. However, the wireless channels most suitable for this application have not been standardized. In this paper, we review the wireless channels suitable for vehicle-2-vehicle (V2V) and Vehicle–to-x (V2x) connectivity. We further present preliminary analysis on the factors that impact the Quality of Service (QoS) of connected vehicles. We use the open access GEMV2 data to carry out Analysis of Variance (ANOVA) and Principal Component Analysis (PCA) on the link quality and found that both line of sight and non line of sight has a significant impact on the link quality. The work presented here will help in the development of connected vehicle network (CVN) prediction model and control for V2V and V2x connectivity. It will further contribute towards unfolding and testing key research questions in the context of connected vehicles which may otherwise be overlooked.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Goh, Dr Cindy Sf
Authors: Khan, A., Sharma, S., Goh, C., and Lim, C. L.
College/School:College of Science and Engineering > School of Engineering
ISSN:2327-2058
ISBN:9781612085739
Copyright Holders:Copyright © 2017 IARIA
Publisher Policy:Reproduced with the permission of the publisher
Related URLs:

University Staff: Request a correction | Enlighten Editors: Update this record