Driving performance grading and analytics: learning internal indicators and external factors from multi-source data

Volume: 121, Issue: 12, Pages: 2530 - 2570
Published: Aug 26, 2021
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.,The authors cooperate with a logistics server (G7) and establish a driving grading system by constructing real-time inertial navigation data-enabled...
Paper Details
Title
Driving performance grading and analytics: learning internal indicators and external factors from multi-source data
Published Date
Aug 26, 2021
Volume
121
Issue
12
Pages
2530 - 2570
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