Systematic Evaluation of a Multi-Lane Green-Driving Algorithm in a Mixed Connected Environment
Vehicles traveling under oscillated traffic have low energy efficiency and high air pollutant emissions. Green driving with the help of connected vehicles (CVs) attracts a lot of research effort to improve vehicle energy efficiency. However, it is very challenging to perform green driving on multi-lane freeways under a mixed connected environment. In the researchers’ previous work, one innovative green-driving algorithm was proposed to solve the multi-lane problem with only one CV. In this study, a systematic analysis of the algorithm is conducted to understand its benefits and limitations on smoothing traffic oscillations. The effect of the steady states and the number of lanes is also analyzed. In addition, the algorithm is extended to a more general scenario with multiple CVs. The extended system coordinates multiple CVs to form multiple moving bottlenecks to mitigate traffic oscillation more efficiently as well as providing more realistic instructions to CVs. The evaluation of the extended system concludes with the most effective strategies to control CVs to smooth oscillations.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
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Supplemental Notes:
- © National Academy of Sciences: Transportation Research Board 2020.
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Authors:
- Yang, Hao
- Oguchi, Kentaro
- Publication Date: 2021-2
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 65-73
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Volume: 2675
- Issue Number: 2
- Publisher: Sage Publications, Incorporated
- ISSN: 0361-1981
- EISSN: 2169-4052
- Serial URL: http://journals.sagepub.com/home/trr
Subject/Index Terms
- TRT Terms: Algorithms; Connected vehicles; Ecodriving; Mobile communication systems; Multilane highways; Traffic flow; Vehicle mix
- Subject Areas: Energy; Environment; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01757771
- Record Type: Publication
- Files: TRIS, TRB, ATRI
- Created Date: Nov 13 2020 5:33PM