Evaluating the impact of road quality in driving behavior of autonomous vehicles

Xinyi Yang; Yihao Ren; Liuqing Hu; Ying Huang; Pan Lu

doi:10.1117/12.2583641

22 March 2021 Evaluating the impact of road quality in driving behavior of autonomous vehicles

Xinyi Yang, Yihao Ren, Liuqing Hu, Ying Huang, Pan Lu

Proceedings Volume 11591, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2021; 1159106 (2021) https://doi.org/10.1117/12.2583641
Event: SPIE Smart Structures + Nondestructive Evaluation, 2021, Online Only

Abstract

Road quality is one of the most important factors influence the behaviors of vehicles, which may increase the safety of the autonomous vehicle with adaptive cruise control (ACC) model if take into consideration. This paper tends to investigate the impact of ride quality on the driving behavior of autonomous vehicles through the simulation tool, VISSIM. The road impact factor (RIF), a road quality index detected from the accelerometers on the smart mobile devices placed on regular vehicles, is used to describe the road quality. If the detected peak RIF is over a certain value, the communication to the autonomous vehicle will indicate a need to reduce the speed in the micro-simulator “Verkehr In Städten – SIMulationsmodell” (VISSIM) simulation. The difference between the driving behavior of the ACC vehicles with and without knowing the ride quality will be used to evaluate the impact of ride quality on driving behavior of autonomous vehicles through simulation.

Conference Presentation

Citation Download Citation

Xinyi Yang, Yihao Ren, Liuqing Hu, Ying Huang, and Pan Lu "Evaluating the impact of road quality in driving behavior of autonomous vehicles", Proc. SPIE 11591, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2021, 1159106 (22 March 2021); https://doi.org/10.1117/12.2583641

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