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Title
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Intelligent electric drive management for plug-in hybrid buses
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Author
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Abstract
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| Plug-in hybrid (PH) buses offer range and operating flexibility of buses with conventional internal combustion engines with environmental. However, when they are frequently charged, they also enable societal benefits (emissions- and noise-related) associated with electric buses. Thanks to geofencing, pure electric drive of PH buses can be assigned to specific locations via a back-office system. As a result, PH buses not only can fulfil zero-emission (ZE) zones set by city authorities, but they can also minimize total energy use thanks to selection of locations favouring (from energy perspective) electric drive. Such a location-controlled behaviour allows executing targeted air quality improvement and noise reduction strategies as well reducing energy consumption. However, current ZE zone assignment strategies used by PH buses are static-they are based on the first-come-first serve rule and do not consider traffic conditions. In this article, we propose a novel recommendation system, based on artificial intelligence, that allows PH buses operating efficiently in a dynamic environment, making the best use of the available resources so that emission- and noise-pollution levels are minimized. |
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Language
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English
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Source (book)
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Optimization and Learning : third International Conference, OLA 2020, February 17–19, 2020, Cádiz, Spain
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Publication
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Cham
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2020
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ISBN
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978-3-030-41912-7
978-3-030-41913-4
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DOI
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10.1007/978-3-030-41913-4_8
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Volume/pages
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1173
(2020)
, p. 85-97
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ISI
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000678761600008
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Full text (Publisher's DOI)
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