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

Jiandong Zhou; Xiang Li; Xiande Zhao; Liang Wang

doi:10.1108/IMDS-11-2020-0630

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

Jiandong Zhou (First Author), Xiang Li (Participant Author), Xiande Zhao (Participant Author), Liang Wang (Participant Author)

Operations Management

Research output: Contribution to journal › Journal

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
Pages (from-to)	2530-2570
Number of pages	41
Journal	Industrial Management and Data Systems
Volume	121
Issue number	12
DOIs	https://doi.org/10.1108/IMDS-11-2020-0630
Publication status	Published - 2021

Keywords

Data analytics
Driving behaviour
Driving performance
Road smoothness
Transparent logistics

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SCIE
ABDC-A

Access to Document

10.1108/IMDS-11-2020-0630

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Cite this

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

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.",

keywords = "Data analytics, Driving behaviour, Driving performance, Road smoothness, Transparent logistics",

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AU - Zhou, Jiandong

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AU - Zhao, Xiande

AU - Wang, Liang

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KW - Driving performance

KW - Road smoothness

KW - Transparent logistics

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DO - 10.1108/IMDS-11-2020-0630

M3 - Journal

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EP - 2570

JO - Industrial Management and Data Systems

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