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)

运营管理

University of Oxford
Beijing University of Chemical Technology

科研成果: 期刊稿件 › 期刊论文

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	https://doi.org/10.1108/IMDS-11-2020-0630
出版状态	已出版 - 2021

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@article{42305b1c6fe14e58ad6eb761861de395,

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",

author = "Jiandong Zhou and Xiang Li and Xiande Zhao and Liang Wang",

year = "2021",

doi = "10.1108/IMDS-11-2020-0630",

language = "English",

volume = "121",

pages = "2530--2570",

journal = "Industrial Management and Data Systems",

issn = "0263-5577",

publisher = "Emerald Publishing",

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TY - JOUR

T1 - Driving performance grading and analytics

T2 - learning internal indicators and external factors from multi-source data

AU - Zhou, Jiandong

AU - Li, Xiang

AU - Zhao, Xiande

AU - Wang, Liang

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Data analytics

KW - Driving behaviour

KW - Driving performance

KW - Road smoothness

KW - Transparent logistics

U2 - 10.1108/IMDS-11-2020-0630

DO - 10.1108/IMDS-11-2020-0630

M3 - Journal

SN - 0263-5577

VL - 121

SP - 2530

EP - 2570

JO - Industrial Management and Data Systems

JF - Industrial Management and Data Systems

IS - 12

ER -

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

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