A framework for user- and system-oriented optimisation of fuel efficiency and traffic flow in Adaptive Cruise Control
- Submitting institution
-
City, University of London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 443
- 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
- Compliant
- Month of publication
- April
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- 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)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper proposes efficient low-dimensional parametric models which result in computationally tractable near-optimal car-following strategies. The proposed framework enables the execution of significantly more comprehensive simulation-based optimisations and more extensive tests on the collective impact of fuel-economy driving strategies. The results show that, as conjectured, a ``short-sighted” user-optimal approach is unable to deliver overall fuel efficiency. Conversely, a system-optimal formulation for fuel efficient driving is presented and it is shown that the objectives of fuel efficiency and smooth traffic flow are compatible and can be optimised jointly when the global benefits to the network are considered
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
