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Modeling and Verification of Eco-Driving Evaluation.
- Source :
- Journal of Information Processing Systems; Jun2024, Vol. 20 Issue 3, p296-306, 11p
- Publication Year :
- 2024
-
Abstract
- Traditional ecological driving (Eco-Driving) evaluations often rely on mathematical models that predominantly offer subjective insights, which limits their application in real-world scenarios. This study develops a robust, data-driven Eco-Driving evaluation model by integrating dynamic and distributed multi-source data, including vehicle performance, road conditions, and the driving environment. The model employs a combination weighting method alongside K-means clustering to facilitate a nuanced comparative analysis of Eco-Driving behaviors across vehicles with identical energy consumption profiles. Extensive data validation confirms that the proposed model is capable of assessing Eco-Driving practices across diverse vehicles, roads, and environmental conditions, thereby ensuring more objective, comprehensive, and equitable results. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1976913X
- Volume :
- 20
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Journal of Information Processing Systems
- Publication Type :
- Academic Journal
- Accession number :
- 178322560
- Full Text :
- https://doi.org/10.3745/JIPS.04.0310