摘要
The purpose of this paper is to deal with the practical challenge faced by modern logistics enterprises to accurately evaluate driving performance with high computational efficiency under the disturbance of road smoothness and to identify significantly associated performance influence factors.
源语言 | 英语 |
---|---|
页(从-至) | 2530-2570 |
页数 | 41 |
期刊 | Industrial Management and Data Systems |
卷 | 121 |
期 | 12 |
DOI | |
出版状态 | 已出版 - 2021 |
成果物的来源
- SCIE
- ABDC-A
指纹
探究 'Driving performance grading and analytics: learning internal indicators and external factors from multi-source data' 的科研主题。它们共同构成独一无二的指纹。引用此
Zhou, J., Li, X., Zhao, X., & Wang, L. (2021). Driving performance grading and analytics: learning internal indicators and external factors from multi-source data. Industrial Management and Data Systems, 121(12), 2530-2570. https://doi.org/10.1108/IMDS-11-2020-0630