University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Towards connected autonomous driving: review of use-cases

Montanaro, Umberto, Dixit, Shilp, Fallah, Saber, Dianati, Mehrdad, Stevens, A, Oxtoby, D and Mouzakitis, A (2019) Towards connected autonomous driving: review of use-cases Vehicle System Dynamics, 57 (6).

[img]
Preview
Text
__homes.surrey.ac.uk_home_.System_Desktop_VFinal_Journal_Draft_Towards Connected Autonomous Driving.pdf - Accepted version Manuscript

Download (607kB) | Preview
[img] Text
__homes.surrey.ac.uk_home_.System_Desktop_Towards connected autonomous driving review of use cases.pdf - Version of Record
Restricted to Repository staff only

Download (3MB)

Abstract

Connected autonomous vehicles are considered as mitigators of issues such as traffic congestion, road safety, inefficient fuel consumption and pollutant emissions that current road transportation system suffers from. Connected autonomous vehicles utilise communication systems to enhance the performance of autonomous vehicles and consequently improve transportation by enabling cooperative functionalities, namely, cooperative sensing and cooperative manoeuvring. The former refers to the ability to share and fuse information gathered from vehicle sensors and road infrastructures to create a better understanding of the surrounding environment while the latter enables groups of vehicles to drive in a co-ordinated way which ultimately results in a safer and more efficient driving environment. However, there is a gap in understanding howand to what extent connectivity can contribute to improving the efficiency, safety and performance of autonomous vehicles. Therefore, the aim of this paper is to investigate the potential benefits that can be achieved from connected autonomous vehicles through analysing five use-cases: (i) vehicle platooning, (ii) lane changing, (iii) intersection management, (iv) energy management and (v) road friction estimation. The current paper highlights that although connectivity can enhance the performance of autonomous vehicles and contribute to the improvement of current transportation system performance, the level of achievable benefits depends on factors such as the penetration rate of connected vehicles, traffic scenarios and the way of augmenting off-board information into vehicle control systems.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Authors :
NameEmailORCID
Montanaro, Umbertou.montanaro@surrey.ac.uk
Dixit, Shilps.dixit@surrey.ac.uk
Fallah, Sabers.fallah@surrey.ac.uk
Dianati, MehrdadM.Dianati@surrey.ac.uk
Stevens, A
Oxtoby, D
Mouzakitis, A
Date : 2019
Funders : EPSRC
DOI : 10.1080/00423114.2018.1492142
Copyright Disclaimer : This is an Accepted Manuscript of an article published by Taylor & Francis in Vehicle System Dynamics on 9 July 2018, available online: https://www.tandfonline.com/doi/full/10.1080/00423114.2018.1492142
Uncontrolled Keywords : Connected autonomous vehicles; cooperative driving; use-case analysis
Additional Information : This work was supported by Jaguar Land Rover and the UK-EPSRC [grant number EP/N01300X/1] as part of the jointly funded Towards Autonomy: Smart and Connected Control (TASCC) Programme.
Depositing User : Melanie Hughes
Date Deposited : 10 Jul 2018 17:21
Last Modified : 31 Oct 2019 11:45
URI: http://epubs.surrey.ac.uk/id/eprint/848674

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800