Research on Interference-Free Monitoring of Driver's Steering Behavior

Haodong Zhang; Haiqiu Tan; Kuikui Feng; Jian Shi; Dongxian Sun; Jie Zhang; Wuhong Wang

doi:10.1007/978-981-19-5615-7_35

Research on Interference-Free Monitoring of Driver's Steering Behavior

Haodong Zhang, Haiqiu Tan, Kuikui Feng, Jian Shi, Dongxian Sun, Jie Zhang, Wuhong Wang^*

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

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

Abstract

The study of driver's driving behavior is not only an important part of traffic safety, but also of great significance to promoting the development of autonomous vehicles. In this paper, a Triboelectric Nanogenerators (AK-TENG) with an aluminum (AI)-Kapton friction layer structure is developed for driving behavior monitoring of drivers. AK-TENG has high sensitivity and certain flexibility. Compared with ordinary Triboelectric Nanogenerators, the structure is stronger and more stable, and less damaged. It is used to obtain the driving behavior data of the driver on the steering wheel. This paper uses AK-TENG to obtain driving behavior information data to monitor the driver's steering behavior, and also provides a new idea for the design of high-sensitivity self-powered sensors in intelligent transportation systems.

Original language	English
Title of host publication	Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety
Editors	Wuhong Wang, Jianping Wu, Ruimin Li, Xiaobei Jiang, Haodong Zhang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	501-508
Number of pages	8
ISBN (Print)	9789811956140
DOIs	https://doi.org/10.1007/978-981-19-5615-7_35
Publication status	Published - 2023
Event	12th International Conference on Green Intelligent Transportation Systems and Safety, 2021 - Beijing, China Duration: 17 Nov 2021 → 19 Nov 2021

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	944
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	12th International Conference on Green Intelligent Transportation Systems and Safety, 2021
Country/Territory	China
City	Beijing
Period	17/11/21 → 19/11/21

Keywords

Driving behavior monitor
Intelligent traffic system
Triboelectric nanogenerator

Access to Document

10.1007/978-981-19-5615-7_35

Cite this

Zhang, H., Tan, H., Feng, K., Shi, J., Sun, D., Zhang, J., & Wang, W. (2023). Research on Interference-Free Monitoring of Driver's Steering Behavior. In W. Wang, J. Wu, R. Li, X. Jiang, & H. Zhang (Eds.), Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety (pp. 501-508). (Lecture Notes in Electrical Engineering; Vol. 944). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-5615-7_35

Zhang, Haodong ; Tan, Haiqiu ; Feng, Kuikui et al. / Research on Interference-Free Monitoring of Driver's Steering Behavior. Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety. editor / Wuhong Wang ; Jianping Wu ; Ruimin Li ; Xiaobei Jiang ; Haodong Zhang. Springer Science and Business Media Deutschland GmbH, 2023. pp. 501-508 (Lecture Notes in Electrical Engineering).

@inproceedings{484e85abd6a842068bcb4625b622b0f3,

title = "Research on Interference-Free Monitoring of Driver's Steering Behavior",

abstract = "The study of driver's driving behavior is not only an important part of traffic safety, but also of great significance to promoting the development of autonomous vehicles. In this paper, a Triboelectric Nanogenerators (AK-TENG) with an aluminum (AI)-Kapton friction layer structure is developed for driving behavior monitoring of drivers. AK-TENG has high sensitivity and certain flexibility. Compared with ordinary Triboelectric Nanogenerators, the structure is stronger and more stable, and less damaged. It is used to obtain the driving behavior data of the driver on the steering wheel. This paper uses AK-TENG to obtain driving behavior information data to monitor the driver's steering behavior, and also provides a new idea for the design of high-sensitivity self-powered sensors in intelligent transportation systems.",

keywords = "Driving behavior monitor, Intelligent traffic system, Triboelectric nanogenerator",

author = "Haodong Zhang and Haiqiu Tan and Kuikui Feng and Jian Shi and Dongxian Sun and Jie Zhang and Wuhong Wang",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 12th International Conference on Green Intelligent Transportation Systems and Safety, 2021 ; Conference date: 17-11-2021 Through 19-11-2021",

year = "2023",

doi = "10.1007/978-981-19-5615-7_35",

language = "English",

isbn = "9789811956140",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "501--508",

editor = "Wuhong Wang and Jianping Wu and Ruimin Li and Xiaobei Jiang and Haodong Zhang",

booktitle = "Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety",

address = "Germany",

}

Zhang, H, Tan, H, Feng, K, Shi, J, Sun, D, Zhang, J & Wang, W 2023, Research on Interference-Free Monitoring of Driver's Steering Behavior. in W Wang, J Wu, R Li, X Jiang & H Zhang (eds), Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety. Lecture Notes in Electrical Engineering, vol. 944, Springer Science and Business Media Deutschland GmbH, pp. 501-508, 12th International Conference on Green Intelligent Transportation Systems and Safety, 2021, Beijing, China, 17/11/21. https://doi.org/10.1007/978-981-19-5615-7_35

Research on Interference-Free Monitoring of Driver's Steering Behavior. / Zhang, Haodong; Tan, Haiqiu; Feng, Kuikui et al.
Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety. ed. / Wuhong Wang; Jianping Wu; Ruimin Li; Xiaobei Jiang; Haodong Zhang. Springer Science and Business Media Deutschland GmbH, 2023. p. 501-508 (Lecture Notes in Electrical Engineering; Vol. 944).

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

TY - GEN

T1 - Research on Interference-Free Monitoring of Driver's Steering Behavior

AU - Zhang, Haodong

AU - Tan, Haiqiu

AU - Feng, Kuikui

AU - Shi, Jian

AU - Sun, Dongxian

AU - Zhang, Jie

AU - Wang, Wuhong

PY - 2023

Y1 - 2023

N2 - The study of driver's driving behavior is not only an important part of traffic safety, but also of great significance to promoting the development of autonomous vehicles. In this paper, a Triboelectric Nanogenerators (AK-TENG) with an aluminum (AI)-Kapton friction layer structure is developed for driving behavior monitoring of drivers. AK-TENG has high sensitivity and certain flexibility. Compared with ordinary Triboelectric Nanogenerators, the structure is stronger and more stable, and less damaged. It is used to obtain the driving behavior data of the driver on the steering wheel. This paper uses AK-TENG to obtain driving behavior information data to monitor the driver's steering behavior, and also provides a new idea for the design of high-sensitivity self-powered sensors in intelligent transportation systems.

AB - The study of driver's driving behavior is not only an important part of traffic safety, but also of great significance to promoting the development of autonomous vehicles. In this paper, a Triboelectric Nanogenerators (AK-TENG) with an aluminum (AI)-Kapton friction layer structure is developed for driving behavior monitoring of drivers. AK-TENG has high sensitivity and certain flexibility. Compared with ordinary Triboelectric Nanogenerators, the structure is stronger and more stable, and less damaged. It is used to obtain the driving behavior data of the driver on the steering wheel. This paper uses AK-TENG to obtain driving behavior information data to monitor the driver's steering behavior, and also provides a new idea for the design of high-sensitivity self-powered sensors in intelligent transportation systems.

KW - Driving behavior monitor

KW - Intelligent traffic system

KW - Triboelectric nanogenerator

UR - http://www.scopus.com/inward/record.url?scp=85142753069&partnerID=8YFLogxK

U2 - 10.1007/978-981-19-5615-7_35

DO - 10.1007/978-981-19-5615-7_35

M3 - Conference contribution

AN - SCOPUS:85142753069

SN - 9789811956140

T3 - Lecture Notes in Electrical Engineering

SP - 501

EP - 508

BT - Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety

A2 - Wang, Wuhong

A2 - Wu, Jianping

A2 - Li, Ruimin

A2 - Jiang, Xiaobei

A2 - Zhang, Haodong

PB - Springer Science and Business Media Deutschland GmbH

T2 - 12th International Conference on Green Intelligent Transportation Systems and Safety, 2021

Y2 - 17 November 2021 through 19 November 2021

ER -

Zhang H, Tan H, Feng K, Shi J, Sun D, Zhang J et al. Research on Interference-Free Monitoring of Driver's Steering Behavior. In Wang W, Wu J, Li R, Jiang X, Zhang H, editors, Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety. Springer Science and Business Media Deutschland GmbH. 2023. p. 501-508. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-19-5615-7_35

Research on Interference-Free Monitoring of Driver's Steering Behavior

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this