Analysis of Driving Patterns and On-Board Feedback-Based Training for Proactive Road Safety Monitoring

被引：10

作者：

Pozueco, Laura ^{[1
]}

Gupta, Nishu ^{[2
]}

Paneda, Xabiel G. ^{[1
]}

Garcia, Roberto ^{[1
]}

Tuero, Alejandro G. ^{[1
]}

Melendi, David ^{[1
]}

Rionda, Abel ^{[3
]}

Corcoba, Victor ^{[1
]}

机构：

[1] Univ Oviedo, Dept Informat, Gijon 332003, Spain

[2] Vaagdevi Coll Engn, Dept Elect & Commun Engn, Warangal 506005, Andhra Pradesh, India

[3] ADN Mobile Solut, Gijon 33394, Spain

来源：

IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS | 2020年 / 50卷 / 06期

基金：

欧盟地平线“2020”;

关键词：

Advanced driver assistance systems; Intelligent transportation systems; Real-time systems; Monitoring; Road safety; Feedback; Advanced driver assistance system; driving behavior; intelligent transportation; on-board monitoring and feedback; road safety; sociodemographic influence; DRIVERS; SYSTEM; BEHAVIORS; IMPACT; MODEL;

D O I：

10.1109/THMS.2020.3027525

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Road accidents and safe driving are one of the main concerns of transportation systems and the companies that explore different solutions to reduce the accident rate. The most interesting option to achieve this goal is through an on-board training of professional drivers to apply safe driving techniques during their work activity. The purpose of this study is to analyze a monitoring system that is not limited to the real-time vehicle tracking but is also capable of monitoring and providing real-time feedback and in-vehicle training. We analyze the influence of different sociodemographic factors on driving behavior. The analyzed data correspond to an urban public transport company, obtained from a study performed on 246 drivers. The drivers received training based on a blended learning system with an on-board feedback device, accompanied by both theoretical and practical sessions. The driving behavior of each driver is obtained from the data gathered from the vehicles that allow us to characterize their driving patterns. The information related to safe driving is completed with a list of the records of road accidents. The results of the sociodemographic influence on driving behavior provide significant information, giving an elaborated classification of safety driving patterns in order to apply intelligent transportation systems.

引用

页码：529 / 537

页数：9

共 27 条

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