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Automated driving and autonomous functions on road vehicles
Open accessAbstract
In recent years, road vehicle automation has become an important and popular topic for research and development in both academic and industrial spheres. New developments have received extensive coverage in the popular press, and it may be said that the topic has captured the public imagination. Indeed, the topic has generated interest across a wide range of academic, industry and governmental communities, well beyond vehicle engineering; these include computer science, transportation, urban planning, legal, social science and psychology. While this follows a similar surge of interest – and subsequent hiatus – of Automated Highway Systems in the 1990s, the current level of interest is substantially greater, and current expectations are high. It is common to frame the new technologies under the banner of ‘self-driving cars’ – robotic systems potentially taking over the entire role of the human driver, a capability that does not fully exist at present. However, this single vision leads one to ignore the existing range of automated systems that are both feasible and useful. Recent developments are underpinned by substantial and long-term trends in ‘computerisation’ of the automobile, with developments in sensors, actuators and control technologies to spur the new developments in both industry and academia. In this paper, we review the evolution of the intelligent vehicle and the supporting technologies with a focus on the progress and key challenges for vehicle system dynamics. A…
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“it seems highly likely that autonomous vehicles will eventually prove much safer on both sealed rural roads and city streets than vehicles driven by human beings”
From When human beings are like drunk robots: Driverless vehicles, ethics, and the future of transport (2017) · cites this paper as Gordon and Lidberg, 2015
In the citing paper
“Driverless vehicles in communication with each other will be able to safely reduce the distance between vehicles because all members of the resulting 'convoy' will be able to brake or accelerate simultaneously as required (Shladover et al., 2012; Fagnant and Kockelman, 2015a, p. 170; Gordon and Lidberg, 2015, p. 970).”
From When human beings are like drunk robots: Driverless vehicles, ethics, and the future of transport (2017) · cites this paper as Gordon and Lidberg, 2015
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Metadata
- Authors
- Gordon, T. J., & Lidberg, M.
- Affiliations
- University of Lincoln (GB)
- Chalmers University of Technology (SE)
- Corresponding author
- Gordon, T.J.
- ORCID
- Lidberg, M.
- Venue
- Vehicle System Dynamics
- Publisher
- Informa UK Limited
- Published
- 2015-06
- Volume
- 53
- Issue
- 7
- Pages
- 958-994
- ISSN
- 0042-3114 (ISSN-L)
- 1744-5159
- OpenAlex
- W1511233954
- Cited by
- 120
- References
- 96
- Citations by year
- 2026: 9 · 2025: 10 · 2024: 19 · 2023: 8 · 2022: 10 · 2021: 7 · 2020: 15 · 2019: 9 · 2018: 11 · 2017: 12 · 2016: 8 · 2015: 2
- FWCI
- 11.36
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- cc-by
- Locations
- Vehicle System Dynamics (publishedVersion)
- Lincoln Repository (University of Lincoln) (acceptedVersion)
- Figshare (submittedVersion, cc-by)
- Chalmers Publication Library (Chalmers University of Technology) (submittedVersion)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Vehicle Dynamics and Control Systems
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Keywords
- autonomous driving, autonomous vehicles, intelligent vehicles, automotive sensors, vehicle control, redundant actuators
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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