A Machine Learning Based Fuel Consumption Saving Method with Time and Environment Dependency Aware Management

Author:

Yu Peng1,Yamauchi Hiroyuki2

Affiliation:

1. Computer Science and Technology, Nanjing University of Science and Technology, China

2. Computer Science and Engineering, Fukuoka Institute of Techonology, Japan

Publisher

ACM

Reference18 articles.

1. A Fuzzy Logic Module to Estimate a Driver’s Fuel Consumption for Reality-Enhanced Serious Games

2. Eco-driving key factors that influence fuel consumption in heavy-truck fleets: A Colombian case

3. Exploring Trip Fuel Consumption by Machine Learning from GPS and CAN Bus Data;Weiliang ZENG;Journal of the Eastern Asia Society for Transportation Studies.,2015

4. Evaluating eco-driving advice using GPS/CANBus data

5. Xuan Zheng , Sheng Lu , Liuhanzi Yang , Min Yan , Guangyi Xu , Xiaomeng Wu , Lixin Fu & Ye Wu. 2020. Real-world fuel consumption of light-duty passenger vehicles using on-board diagnostic (OBD) systems. Frontiers of Environmental Science & Engineering volume , 2018 , 38(5): 1783-1790, https://doi.org/10.1007/s11783-019-1212-6. Xuan Zheng, Sheng Lu, Liuhanzi Yang, Min Yan, Guangyi Xu, Xiaomeng Wu, Lixin Fu & Ye Wu. 2020. Real-world fuel consumption of light-duty passenger vehicles using on-board diagnostic (OBD) systems. Frontiers of Environmental Science & Engineering volume, 2018, 38(5): 1783-1790, https://doi.org/10.1007/s11783-019-1212-6.

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