Fuel Economy Improvement of Urban Buses with Development of an Eco-Drive Scoring Algorithm Using Machine Learning
نویسندگان
چکیده
Eco-drive is a widely used concept. It can improve fuel economy for different driving behaviors such as vehicle acceleration or accelerator pedal operation, deceleration coasting while slowing down, and gear shift timing difference. The feasibility of improving the urban buses by applying eco-drive was verified analyzing data from drivers who achieved high efficiencies in with frequency acceleration/deceleration frequent operation. items that were monitored were: rapid take-off/acceleration/deceleration, gradient, rate, indicator violation, average engine speed, over shifting under low-end speed. monitoring method each item set up, an index produced using data. A prediction model created machine learning to determine contribution economy. Furthermore, analyzed explainer. Accordingly, points (defined score) allocated item. this score represent characteristics based on relationship between In addition, it resulted annual improvement 12.1%.
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ژورنال
عنوان ژورنال: Energies
سال: 2021
ISSN: ['1996-1073']
DOI: https://doi.org/10.3390/en14154471