Technical Papers
Mar 12, 2022

Design of Vehicle–Road Cooperative Assistant Decision System for Active Safety at Intersections

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 148, Issue 5

Abstract

To control driving speed at intersections and assist drivers in making accurate decisions, a vehicle–road collaborative decision-making system for the active safety of intersections was developed. The system is divided into three modules: information collection, decision-making control, and intelligent underground lamps. According to the signal phase of intersections and the speed information of approaching vehicles, the auxiliary decision-making model is established based on an analysis of the dynamic characteristics of the dilemma zone. The state of the dynamic yellow light and intelligent underground lamps are controlled based on judgment results. The intelligent underground lamps can be flexibly switched between the three states, and the driver can be alerted by vision. In addition, the dynamic yellow light time can effectively avoid the risk of intersection accidents, shorten the time delay caused by conservative driving behavior, and improve the overall robustness of the road network.

Get full access to this article

View all available purchase options and get full access to this article.

Data Availability Statement

Some or all data, models, and code that support the findings of this study are available from the corresponding author upon reasonable request.

References

Bai, Y. 2018. Study on protection method for dilemma zone based on CVIS. Chongqing, China: Chongqing Jiaotong Univ.
Chu, H., X. Yang, T. Zhu, and Z. Wang. 2008. “Active traffic safety technology in intersection based on intelligent vehicle-infrastructure system.” J. Transp. Inf. Saf. 26 (4): 135–139.
Fu, C. 2015. Methods for yellow light dilemma zone boundary modelling and its hazard assessment at signalized intersections. Harbin, China: Harbin Institute of Technology.
Gu, S. 2016. Research on braking intention recognition based on the modelling of the dilemma zone of signal intersection. Zhenjiang, China: Jiangsu Univ.
Huang, W., W. Ma, and X. Yang. 2009. “Dilemma zone-oriented actuated signal control.” J. Transp. Inf. Saf. 27 (4): 75–79.
Jia, H., and D. Yang. 2015. “Method for determining the activation time of dilemma—Zone avoidance-guiding system.” J. Jilin Univ. (Eng. Technol. Ed.) 45 (3): 733–739.
Li, J., H. Song, Z. Zhang, J. Hou, and F. Wu. 2020. “Multi-object vehicle tracking and trajectory optimization based on video.” Comput. Eng. Appl. 56 (5): 194–199.
Liu, S., L. Zhang, W. Yang, and Z. Wang. 2016. “Markov model based adaptive traffic signal control for dilemma zone at signalized intersections.” J. Tongji Univ. (Natl. Sci.) 44 (9): 1398–1406.
Liu, Y., G. L. Chang, R. Tao, T. Hicks, and E. Tabacek. 2007. “Empirical observations of dynamic dilemma zones at signalized intersections.” Transp. Res. Rec: J. Transp. Res. Board. https://doi.org/10.3141/2035-14.
Lu, K., J. Jia, C. Liu, and R. Ando. 2018. “Warning effectiveness of vehicle-to-infrastructure cooperative crossing collision prevention system at non-signal controlled intersection.” China J. Highway Transp. 31 (4): 222–230.
Ma, G., and W. Huang. 2013. “Research on proactive control of dilemma zone for isolated intersections.” J. Kunming Univ. Sci. Technol. (Natl. Sci. Ed.) 38 (6): 48–53.
Olson, P. L., and R. W. Rothery. 1972. “Deceleration levels and clearance times associated with the amber phase of traffic signals.” Traffic Eng., Inst. Traffic Eng. 42 (7): 16–19.
Qian, H., and H. Han. 2012. “Again on the road intersection signal control in yellow signal problems.” Traffic Inf. Secur. 30 (5): 95–99.
Urbanik, T., and P. Koonce. 2017. “The dilemma with dilemma zones.” In Proc., ITE District. Washington, DC: Institute of Transportation Engineers.
Xu, J., and X. Chen. 2008. Fundamentals of traffic engineering. Beijing: China Communications Press.
Yang, D. 2014. Key theory and method for dilemma-zone avoidance-guiding system design at signalized intersection. Changchun, China: Jilin Univ.
Yin, C. 2002. Traffic parameters detection based on video virtual-loop sensors. Beijing: Tsinghua Univ.
Zhang, C., C. Chen, and X. Yan. 2012. “Methods for alleviating dilemma zone problem of signal control intersection based on cooperated vehicle infrastructure system.” China Saf. Sci. J. 22 (6): 86–91.
Zhang, Y. 2018. Research of driving behavior on dynamic dilemma-zone at urban roads signal intersection. Chongqing, China: Chongqing Jiaotong Univ.
Zhang, Y., C. Fu, and W. Li. 2014. “Yellow light dilemma zone researches: A review.” J. Traffic Transp. Eng. (English Ed.) 1 (5): 338–352. https://doi.org/10.1016/S2095-7564(15)30280-4.
Zhang, Y., L. Wen, S. Qi, and Q. Mo. 2018. “Optimization of yellow signal duration considering the Type I dilemma zone.” J. Chongqing JiaoTong Univ. (Natl. Sci. Ed.) 37 (8): 69–74.
Zhao, Y., and T. Zhu. 2010. “Improved algorithm for yellow light dilemma zone warning systems.” Comput. Eng. Appl. 46 (13): 236–238.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 148Issue 5May 2022

History

Received: Aug 3, 2021
Accepted: Jan 18, 2022
Published online: Mar 12, 2022
Published in print: May 1, 2022
Discussion open until: Aug 12, 2022

Permissions

Request permissions for this article.

Authors

Affiliations

Professor, School of Mechanical and Automotive Engineering, Qingdao Univ. of Technology, Qingdao, Shandong 266520, China. ORCID: https://orcid.org/0000-0002-5610-3215. Email: [email protected]
Postgraduate, School of Mechanical and Automotive Engineering, Qingdao Univ. of Technology, Qingdao, Shandong 266520, China (corresponding author). ORCID: https://orcid.org/0000-0002-0525-4574. Email: [email protected]
Postgraduate, School of Mechanical and Automotive Engineering, Qingdao Univ. of Technology, Qingdao, Shandong 266520, China. Email: [email protected]
Postgraduate, School of Mechanical and Automotive Engineering, Qingdao Univ. of Technology, Qingdao, Shandong 266520, China. Email: [email protected]
Yan-feng Jia [email protected]
Postgraduate, School of Mechanical and Automotive Engineering, Qingdao Univ. of Technology, Qingdao, Shandong 266520, China. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

  • A Review of Multi-vehicle Cooperative Control System in Intelligent Transportation, International Journal of Automotive Manufacturing and Materials, 10.53941/ijamm.2023.100011, (5), (2023).
  • Head behavior on left-turn across path and opposite direction crash using simulation, Journal of Mechanical Science and Technology, 10.1007/s12206-023-0429-2, 37, 5, (2537-2543), (2023).
  • Crosswalk Safety Warning System for Pedestrians to Cross the Street Intelligently, Sustainability, 10.3390/su141610223, 14, 16, (10223), (2022).

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share