A framework for user- and system-oriented optimisation of fuel efficiency and traffic flow in Adaptive Cruise Control
- Submitting institution
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University of Southampton
- Unit of assessment
- 12 - Engineering
- Output identifier
- 34399473
- Type
- D - Journal article
- DOI
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10.1016/j.trc.2018.02.002
- Title of journal
- Transportation Research Part C: Emerging Technologies
- Article number
- -
- First page
- 27
- Volume
- 92
- Issue
- -
- ISSN
- 0968-090X
- Open access status
- Access exception
- Month of publication
- April
- Year of publication
- 2018
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The introduction of automated driving functionalities in conventionally fuelled vehicles can be an effective way of reducing the overall energy demand from the road sector. This paper introduces a new system-optimal control algorithm for fully and partially automated vehicles, which reduces network-level fuel consumption alongside improving traffic efficiency. The paper led to a collaboration of the authors with the Transport Systems Catapult (contact: fabio.galatioto@ts.catapult.org.uk), through which the algorithm was validated using a microscopic traffic simulation model of the city of Milton Keynes. The results were presented in a joint paper at the 50th UTSG Annual Conference in January 2018.
- Author contribution statement
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- Non-English
- No
- English abstract
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