Abstract
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.
Original language | English |
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Pages (from-to) | 2530-2570 |
Number of pages | 41 |
Journal | Industrial Management and Data Systems |
Volume | 121 |
Issue number | 12 |
DOIs | |
Publication status | Published - 2021 |
Keywords
- Data analytics
- Driving behaviour
- Driving performance
- Road smoothness
- Transparent logistics
Indexed by
- SCIE
- ABDC-A
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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