Simulation on turning blind area early warning control model for large vehicle based on PC-crash

Binghui Li; Zehao Yin; Jiani Zhang; Yun Lu; Yaocheng Zhang; Longbo Zhu; Yanhui Fan; Xiulian Chang

doi:10.1117/12.2689645

7 September 2023 Simulation on turning blind area early warning control model for large vehicle based on PC-crash

Binghui Li, Zehao Yin, Jiani Zhang, Yun Lu, Yaocheng Zhang, Longbo Zhu, Yanhui Fan, Xiulian Chang

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127903N (2023) https://doi.org/10.1117/12.2689645
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

This article conducts simulation research on the control model of the intelligent warning system for blind spots of large vehicles. Firstly, select appropriate vehicle wheelbase and turning radius parameters, and use PC Crash simulation software to simulate and analyze the impact of wheel difference on turning driving; Then, through PreScan simulation experiments, the turning blind spots of vehicles with different turning angles and corresponding onboard radar detection angles are determined, and a turning angle inner wheel difference radar detection angle model equation is established for the design of intelligent warning schemes for turning blind spots of large vehicles. This study is of great significance for the design of intelligent warning systems for blind spots in large vehicle turns.

Citation Download Citation

Binghui Li, Zehao Yin, Jiani Zhang, Yun Lu, Yaocheng Zhang, Longbo Zhu, Yanhui Fan, and Xiulian Chang "Simulation on turning blind area early warning control model for large vehicle based on PC-crash", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127903N (7 September 2023); https://doi.org/10.1117/12.2689645

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available