Analysis on the Impact of Illegal Driver Behaviors on Road Traffic Accidents Case Study on China

Xia Li; Chengxiang Zhuge; Bingying Yu

doi:10.1109/IHMSC.2019.00065

Analysis on the Impact of Illegal Driver Behaviors on Road Traffic Accidents Case Study on China

Xia Li
, Chengxiang Zhuge
, Bingying Yu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Citations (Scopus)

Abstract

Road traffic accidents in China result in more than 50,000 fatalities annually. There are many risk factors that are related to accidents, loss of lives and heavy property damage. Driver behavior was universally accepted as main reason for road traffic accidents. This paper aims to assess the impact of illegal driver behaviors on road traffic accidents with statistical data in China. Firstly, the correlation between different factors resulted in road accidents and four indices of road accident is analyzed. Secondly, the statistical indicators of road traffic accidents such as accident numbers, fatality, injury, and direct economic loss are recognized as independent variables and the statistical number of road accidents caused by 13 types of illegal driver behaviors is taken as independent variables; and then partial least square regression was used to analyze the relationship between them. Results show that refusal to give a way to others; illegal reverse, illegal parking, drunk driving, and speeding are identified as high risk behaviors.

Original language	English
Title of host publication	Proceedings - 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	250-253
Number of pages	4
ISBN (Electronic)	9781728118598
DOIs	https://doi.org/10.1109/IHMSC.2019.00065
Publication status	Published - Aug 2019
Event	11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019 - Hangzhou, China Duration: 24 Aug 2019 → 25 Aug 2019

Publication series

Name	Proceedings - 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019
Volume	1

Conference

Conference	11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019
Country/Territory	China
City	Hangzhou
Period	24/08/19 → 25/08/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

illegal driver behavior
partial least square
road traffic accidents
traffic safety

Access to Document

10.1109/IHMSC.2019.00065

Cite this

Li, X., Zhuge, C., & Yu, B. (2019). Analysis on the Impact of Illegal Driver Behaviors on Road Traffic Accidents Case Study on China. In Proceedings - 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019 (pp. 250-253). Article 8941492 (Proceedings - 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IHMSC.2019.00065

Li, Xia ; Zhuge, Chengxiang ; Yu, Bingying. / Analysis on the Impact of Illegal Driver Behaviors on Road Traffic Accidents Case Study on China. Proceedings - 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 250-253 (Proceedings - 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019).

@inproceedings{18516a460cc849ba8e28f4647ec70086,

title = "Analysis on the Impact of Illegal Driver Behaviors on Road Traffic Accidents Case Study on China",

abstract = "Road traffic accidents in China result in more than 50,000 fatalities annually. There are many risk factors that are related to accidents, loss of lives and heavy property damage. Driver behavior was universally accepted as main reason for road traffic accidents. This paper aims to assess the impact of illegal driver behaviors on road traffic accidents with statistical data in China. Firstly, the correlation between different factors resulted in road accidents and four indices of road accident is analyzed. Secondly, the statistical indicators of road traffic accidents such as accident numbers, fatality, injury, and direct economic loss are recognized as independent variables and the statistical number of road accidents caused by 13 types of illegal driver behaviors is taken as independent variables; and then partial least square regression was used to analyze the relationship between them. Results show that refusal to give a way to others; illegal reverse, illegal parking, drunk driving, and speeding are identified as high risk behaviors.",

keywords = "illegal driver behavior, partial least square, road traffic accidents, traffic safety",

author = "Xia Li and Chengxiang Zhuge and Bingying Yu",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019 ; Conference date: 24-08-2019 Through 25-08-2019",

year = "2019",

month = aug,

doi = "10.1109/IHMSC.2019.00065",

language = "English",

series = "Proceedings - 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "Proceedings - 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019",

address = "United States",

}

Li, X, Zhuge, C & Yu, B 2019, Analysis on the Impact of Illegal Driver Behaviors on Road Traffic Accidents Case Study on China. in Proceedings - 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019., 8941492, Proceedings - 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019, vol. 1, Institute of Electrical and Electronics Engineers Inc., pp. 250-253, 11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019, Hangzhou, China, 24/08/19. https://doi.org/10.1109/IHMSC.2019.00065

Analysis on the Impact of Illegal Driver Behaviors on Road Traffic Accidents Case Study on China. / Li, Xia; Zhuge, Chengxiang; Yu, Bingying.
Proceedings - 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 250-253 8941492 (Proceedings - 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Analysis on the Impact of Illegal Driver Behaviors on Road Traffic Accidents Case Study on China

AU - Li, Xia

AU - Zhuge, Chengxiang

AU - Yu, Bingying

PY - 2019/8

Y1 - 2019/8

N2 - Road traffic accidents in China result in more than 50,000 fatalities annually. There are many risk factors that are related to accidents, loss of lives and heavy property damage. Driver behavior was universally accepted as main reason for road traffic accidents. This paper aims to assess the impact of illegal driver behaviors on road traffic accidents with statistical data in China. Firstly, the correlation between different factors resulted in road accidents and four indices of road accident is analyzed. Secondly, the statistical indicators of road traffic accidents such as accident numbers, fatality, injury, and direct economic loss are recognized as independent variables and the statistical number of road accidents caused by 13 types of illegal driver behaviors is taken as independent variables; and then partial least square regression was used to analyze the relationship between them. Results show that refusal to give a way to others; illegal reverse, illegal parking, drunk driving, and speeding are identified as high risk behaviors.

AB - Road traffic accidents in China result in more than 50,000 fatalities annually. There are many risk factors that are related to accidents, loss of lives and heavy property damage. Driver behavior was universally accepted as main reason for road traffic accidents. This paper aims to assess the impact of illegal driver behaviors on road traffic accidents with statistical data in China. Firstly, the correlation between different factors resulted in road accidents and four indices of road accident is analyzed. Secondly, the statistical indicators of road traffic accidents such as accident numbers, fatality, injury, and direct economic loss are recognized as independent variables and the statistical number of road accidents caused by 13 types of illegal driver behaviors is taken as independent variables; and then partial least square regression was used to analyze the relationship between them. Results show that refusal to give a way to others; illegal reverse, illegal parking, drunk driving, and speeding are identified as high risk behaviors.

KW - illegal driver behavior

KW - partial least square

KW - road traffic accidents

KW - traffic safety

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DO - 10.1109/IHMSC.2019.00065

M3 - Conference contribution

AN - SCOPUS:85078316142

T3 - Proceedings - 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019

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EP - 253

BT - Proceedings - 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 24 August 2019 through 25 August 2019

ER -

Li X, Zhuge C, Yu B. Analysis on the Impact of Illegal Driver Behaviors on Road Traffic Accidents Case Study on China. In Proceedings - 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 250-253. 8941492. (Proceedings - 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2019). doi: 10.1109/IHMSC.2019.00065

Analysis on the Impact of Illegal Driver Behaviors on Road Traffic Accidents Case Study on China

Abstract

Publication series

Conference

UN SDGs

Keywords

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