Field tests of a dynamic green driving strategy based on inter-vehicle communication |
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| Institution: | 1. Department of Civil and Environmental Engineering, Lamar University, Beaumont, TX 77710, USA;2. Department of Civil and Environmental Engineering, University of California, Irvine, Irvine, CA 92619, USA;1. Applied Economics & Management Research Group, University of Seville, Seville, Spain;2. Department of Economic Policy, University of Barcelona, Barcelona, Spain;1. Section on Gene Structure and Disease, Laboratory of Cell and Molecular Biology, National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA;2. Laboratory of Molecular Pharmacology, CCR, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA;1. Department of Cell Growth and Differentiation, Center for iPS Cell Research and Application, Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan;2. Department of Plastic and Reconstructive Surgery, University of Fukui Hospital, 23-3 Matsuokashimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui 910-1193, Japan;3. Department of Plastic Surgery, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan;4. Department of Plastic Surgery, Bellland General Hospital, 500-3 Higashiyama Naka-ku, Sakai, Osaka 599-8247, Japan;5. Department of Orthopaedic Surgery, Gifu University Graduate School of Medicine, 1-1 Yanagito, Gifu 501-1194, Japan;6. Department of Orthopaedic Surgery, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan;7. Japan Science and Technology Agency, CREST, Tokyo 102-0075, Japan |
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| Abstract: | This paper presents the design and results for field tests regarding the environmental benefits in stop-and-go traffic of an algorithmic green driving strategy based on inter-vehicle communication (IVC), which was proposed in Yang and Jin (2014). The green driving strategy dynamically calculates advisory speed limits for vehicles equipped with IVC devices so as to smooth their speed profiles and reduce their emissions and fuel consumption. For the field tests, we develop a smartphone-based IVC system, in which vehicles’ speeds and locations are collected by GPS and accelerometer sensors embedded in smartphones, and communications among vehicles are enabled by specially designed smartphone applications, a central server, and 4G cellular networks. Six field tests are carried out on an uninterrupted ring road under slow or fast stop-and-go traffic conditions. We compare the performances of three alternatives: no green driving, heuristic green driving, and the IVC-based algorithmic green driving. Results show that heuristic green driving has better smoothing and environmental effects than no green driving, but the IVC-based algorithmic green driving outperforms both. In the future, we are interested in field tests under more realistic traffic conditions. |
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| Keywords: | Field tests Green driving Smartphone-based inter-vehicle communication Stop-and-go traffic |
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