標題: Data mining for enhanced driving effectiveness: an eco-driving behaviour analysis model for better driving decisions
作者: Hsu, Chia-Yu
Lim, Sirirat Sae
Yang, Chin-Sheng
科技管理研究所
Institute of Management of Technology
關鍵字: overall drive effectiveness;eco-driving;data mining;big data;decision support systems
公開日期: 1-一月-2017
摘要: With the growing demand for energy efficient vehicles, automobile companies are constantly searching for better ways to study their customers' driving behaviour for effective new product design and development. One emerging driving behaviour among modern, eco-friendly drivers is the utilising of advanced vehicle technology for smarter, safer and more fuel-efficient driving. While many eco-driving studies focus on minimising fuel consumption, little attention is paid to how the behaviour of an individual driver and the type of vehicle used impact driving effectiveness. This study addresses this gap by proposing a novel overall drive effectiveness index that uses data mining for better driving decisions. Utilising data mining techniques, the index examines the impact of driving behaviour on driving effectiveness. A novel fuel consumption prediction model based on vehicle speed, engine speed and engine load was constructed. This decision-making support model accurately predicts real-time fuel consumption based on different driving behaviours, and hence, the driving effectiveness. Both the proposed index and fuel consumption model can be used to support decision-making in new product design and development.
URI: http://dx.doi.org/10.1080/00207543.2017.1349946
http://hdl.handle.net/11536/144410
ISSN: 0020-7543
DOI: 10.1080/00207543.2017.1349946
期刊: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume: 55
起始頁: 7096
結束頁: 7109
顯示於類別:期刊論文