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Vehicle System Dynamics
International Journal of Vehicle Mechanics and Mobility
Volume 58, 2020 - Issue 5: Connected and Automated Road Vehicles guest edited by: Gabor Orosz and Ilya Kolmanovsky
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Original Articles

Connected and automated road vehicles: state of the art and future challenges

Tulga ErsalDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USAORCID Iconhttps://orcid.org/0000-0002-6811-8529View further author information
ORCID Icon,
Ilya KolmanovskyDepartment of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USAView further author information
,
Neda MasoudDepartment of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI, USAORCID Iconhttps://orcid.org/0000-0002-6526-3317View further author information
ORCID Icon,
Necmiye OzayDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USAView further author information
,
Jeffrey ScruggsDepartment of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI, USAView further author information
,
Ram VasudevanDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USAORCID Iconhttps://orcid.org/0000-0003-1978-0572View further author information
ORCID Icon &
Gábor OroszDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA;Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-9000-3736View further author information
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Pages 672-704 | Received 27 Aug 2019, Accepted 03 Mar 2020, Published online: 29 Mar 2020
 
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ABSTRACT

The state of the art of modelling, control, and optimisation is discussed for automated road vehicles that may utilise wireless vehicle-to-everything (V2X) connectivity. The appropriate tools to address safety and energy efficiency are described and the effects on traffic dynamics are highlighted. Finally, the economical and societal impacts of the deployment of connected and automated vehicles are discussed.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

T. Ersal was supported by the NSF [grant number 1646019]. I. Kolmanovsky was supported by the NSF [grant number 1931738]. N. Masoud was supported by the NSF [grant number 1837245] and by the USDOT [grant number 69A3551747105]. N. Ozay was supported in part by the NSF [grant numbers 1553873 and  1918123]. R. Vasudevan was supported by the ONR [award number 00014-18-1-2575] and by the NSF [grant number 1751093]. G. Orosz acknowledges the useful feedback from Sergei Avedisov, Tamás Molnár, and Dénes Takács.

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