Research on Automated Detecting Technology for Road Icing Conditions

Yuejing Lv; Zhiwei Zhang; Jilu Li; Yiqiu Tan; Chi Zhang; Shuai Li; Meizhao Han

doi:10.1061/9780784485255.079

Research on Automated Detecting Technology for Road Icing Conditions

Yuejing Lv
, Zhiwei Zhang
, Jilu Li^*
, Yiqiu Tan
, Chi Zhang
, Shuai Li
, Meizhao Han

^*Corresponding author for this work

Qinghai Provincial Highway Bureau
Wuhan University of Science and Technology
Beijing University of Technology
School of Transportation Science and Engineering, Harbin Institute of Technology
China Academy of Railway Sciences

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

1 Scopus citations

Abstract

Ice on the road surface can cause vehicles to skid, overturn, and tailgate, which can seriously compromise the safety of traffic operations. To avoid traffic accidents, it is necessary to identify the icy state of the road. A piezoelectric sensor was designed for automating the detection of icing. The sensors were calibrated in various icing scenarios, and their accuracy was tested in a variety of operational situations. Eventually, the sensors were trialed on a national road in Qinghai Province. The results show that, under different working conditions, the sensor is capable of detecting the thickness of ice on the road surface with a resolution of 0.1 mm and an accuracy of no less than 95%. The piezoelectric sensors can serve in the natural environment of the road for a long time and provide a technical reference for automatic road detection.

Original language	English
Title of host publication	International Conference on Road and Airfield Pavement Technology 2023 - Proceedings of the 13th International Conference on Road and Airfield Pavement Technology
Editors	Hui Yao, Jinxi Zhang, Fwa Tien Fang, Fwa Tien Fang, Chao Wang
Publisher	American Society of Civil Engineers (ASCE)
Pages	935-943
Number of pages	9
ISBN (Electronic)	9780784485255
DOIs	https://doi.org/10.1061/9780784485255.079
State	Published - 2024
Externally published	Yes
Event	13th International Conference on Road and Airfield Pavement Technology, ICPT 2023 - Beijing, China Duration: 6 Jul 2023 → 8 Jul 2023

Publication series

Name	International Conference on Road and Airfield Pavement Technology 2023 - Proceedings of the 13th International Conference on Road and Airfield Pavement Technology

Conference

Conference	13th International Conference on Road and Airfield Pavement Technology, ICPT 2023
Country/Territory	China
City	Beijing
Period	6/07/23 → 8/07/23

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Traffic and transport engineering
ice detecting
road safety
work characteristics

Access to Document

10.1061/9780784485255.079

Cite this

Lv, Y., Zhang, Z., Li, J., Tan, Y., Zhang, C., Li, S., & Han, M. (2024). Research on Automated Detecting Technology for Road Icing Conditions. In H. Yao, J. Zhang, F. T. Fang, F. T. Fang, & C. Wang (Eds.), International Conference on Road and Airfield Pavement Technology 2023 - Proceedings of the 13th International Conference on Road and Airfield Pavement Technology (pp. 935-943). (International Conference on Road and Airfield Pavement Technology 2023 - Proceedings of the 13th International Conference on Road and Airfield Pavement Technology). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784485255.079

Lv, Yuejing ; Zhang, Zhiwei ; Li, Jilu et al. / Research on Automated Detecting Technology for Road Icing Conditions. International Conference on Road and Airfield Pavement Technology 2023 - Proceedings of the 13th International Conference on Road and Airfield Pavement Technology. editor / Hui Yao ; Jinxi Zhang ; Fwa Tien Fang ; Fwa Tien Fang ; Chao Wang. American Society of Civil Engineers (ASCE), 2024. pp. 935-943 (International Conference on Road and Airfield Pavement Technology 2023 - Proceedings of the 13th International Conference on Road and Airfield Pavement Technology).

@inproceedings{5719e5de682f431eaed47ff94aa6d92a,

title = "Research on Automated Detecting Technology for Road Icing Conditions",

abstract = "Ice on the road surface can cause vehicles to skid, overturn, and tailgate, which can seriously compromise the safety of traffic operations. To avoid traffic accidents, it is necessary to identify the icy state of the road. A piezoelectric sensor was designed for automating the detection of icing. The sensors were calibrated in various icing scenarios, and their accuracy was tested in a variety of operational situations. Eventually, the sensors were trialed on a national road in Qinghai Province. The results show that, under different working conditions, the sensor is capable of detecting the thickness of ice on the road surface with a resolution of 0.1 mm and an accuracy of no less than 95\%. The piezoelectric sensors can serve in the natural environment of the road for a long time and provide a technical reference for automatic road detection.",

keywords = "Traffic and transport engineering, ice detecting, road safety, work characteristics",

author = "Yuejing Lv and Zhiwei Zhang and Jilu Li and Yiqiu Tan and Chi Zhang and Shuai Li and Meizhao Han",

note = "Publisher Copyright: {\textcopyright} 2023 ASCE.; 13th International Conference on Road and Airfield Pavement Technology, ICPT 2023 ; Conference date: 06-07-2023 Through 08-07-2023",

year = "2024",

doi = "10.1061/9780784485255.079",

language = "英语",

series = "International Conference on Road and Airfield Pavement Technology 2023 - Proceedings of the 13th International Conference on Road and Airfield Pavement Technology",

publisher = "American Society of Civil Engineers (ASCE)",

pages = "935--943",

editor = "Hui Yao and Jinxi Zhang and Fang, \{Fwa Tien\} and Fang, \{Fwa Tien\} and Chao Wang",

booktitle = "International Conference on Road and Airfield Pavement Technology 2023 - Proceedings of the 13th International Conference on Road and Airfield Pavement Technology",

address = "美国",

}

Lv, Y, Zhang, Z, Li, J , Tan, Y, Zhang, C, Li, S & Han, M 2024, Research on Automated Detecting Technology for Road Icing Conditions. in H Yao, J Zhang, FT Fang, FT Fang & C Wang (eds), International Conference on Road and Airfield Pavement Technology 2023 - Proceedings of the 13th International Conference on Road and Airfield Pavement Technology. International Conference on Road and Airfield Pavement Technology 2023 - Proceedings of the 13th International Conference on Road and Airfield Pavement Technology, American Society of Civil Engineers (ASCE), pp. 935-943, 13th International Conference on Road and Airfield Pavement Technology, ICPT 2023, Beijing, China, 6/07/23. https://doi.org/10.1061/9780784485255.079

Research on Automated Detecting Technology for Road Icing Conditions. / Lv, Yuejing; Zhang, Zhiwei; Li, Jilu et al.
International Conference on Road and Airfield Pavement Technology 2023 - Proceedings of the 13th International Conference on Road and Airfield Pavement Technology. ed. / Hui Yao; Jinxi Zhang; Fwa Tien Fang; Fwa Tien Fang; Chao Wang. American Society of Civil Engineers (ASCE), 2024. p. 935-943 (International Conference on Road and Airfield Pavement Technology 2023 - Proceedings of the 13th International Conference on Road and Airfield Pavement Technology).

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

TY - GEN

T1 - Research on Automated Detecting Technology for Road Icing Conditions

AU - Lv, Yuejing

AU - Zhang, Zhiwei

AU - Li, Jilu

AU - Tan, Yiqiu

AU - Zhang, Chi

AU - Li, Shuai

AU - Han, Meizhao

PY - 2024

Y1 - 2024

N2 - Ice on the road surface can cause vehicles to skid, overturn, and tailgate, which can seriously compromise the safety of traffic operations. To avoid traffic accidents, it is necessary to identify the icy state of the road. A piezoelectric sensor was designed for automating the detection of icing. The sensors were calibrated in various icing scenarios, and their accuracy was tested in a variety of operational situations. Eventually, the sensors were trialed on a national road in Qinghai Province. The results show that, under different working conditions, the sensor is capable of detecting the thickness of ice on the road surface with a resolution of 0.1 mm and an accuracy of no less than 95%. The piezoelectric sensors can serve in the natural environment of the road for a long time and provide a technical reference for automatic road detection.

AB - Ice on the road surface can cause vehicles to skid, overturn, and tailgate, which can seriously compromise the safety of traffic operations. To avoid traffic accidents, it is necessary to identify the icy state of the road. A piezoelectric sensor was designed for automating the detection of icing. The sensors were calibrated in various icing scenarios, and their accuracy was tested in a variety of operational situations. Eventually, the sensors were trialed on a national road in Qinghai Province. The results show that, under different working conditions, the sensor is capable of detecting the thickness of ice on the road surface with a resolution of 0.1 mm and an accuracy of no less than 95%. The piezoelectric sensors can serve in the natural environment of the road for a long time and provide a technical reference for automatic road detection.

KW - Traffic and transport engineering

KW - ice detecting

KW - road safety

KW - work characteristics

UR - https://www.scopus.com/pages/publications/85184851183

U2 - 10.1061/9780784485255.079

DO - 10.1061/9780784485255.079

M3 - 会议稿件

AN - SCOPUS:85184851183

T3 - International Conference on Road and Airfield Pavement Technology 2023 - Proceedings of the 13th International Conference on Road and Airfield Pavement Technology

SP - 935

EP - 943

BT - International Conference on Road and Airfield Pavement Technology 2023 - Proceedings of the 13th International Conference on Road and Airfield Pavement Technology

A2 - Yao, Hui

A2 - Zhang, Jinxi

A2 - Fang, Fwa Tien

A2 - Wang, Chao

PB - American Society of Civil Engineers (ASCE)

T2 - 13th International Conference on Road and Airfield Pavement Technology, ICPT 2023

Y2 - 6 July 2023 through 8 July 2023

ER -

Lv Y, Zhang Z, Li J , Tan Y, Zhang C, Li S et al. Research on Automated Detecting Technology for Road Icing Conditions. In Yao H, Zhang J, Fang FT, Fang FT, Wang C, editors, International Conference on Road and Airfield Pavement Technology 2023 - Proceedings of the 13th International Conference on Road and Airfield Pavement Technology. American Society of Civil Engineers (ASCE). 2024. p. 935-943. (International Conference on Road and Airfield Pavement Technology 2023 - Proceedings of the 13th International Conference on Road and Airfield Pavement Technology). doi: 10.1061/9780784485255.079

Research on Automated Detecting Technology for Road Icing Conditions

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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