On Safety Verification for RSS Longitudinal Safety Distance Using Prescan Simulator
SAE-PP-00323
02/08/2023
- Content
- As the automobile industry develops today, as the demand for automobiles increases, the frequency of accidents also increases, and the issue of safe driving of automobiles has emerged. Safety is also an important task in the development of self-driving cars. Various studies have been conducted on a car-following model that avoids accidents by maintaining a safe distance from the vehicle in front of the vehicle as a method of ensuring vehicle driving safety. Recently, to ensure the safety of autonomous vehicle, Intel and Mobileye have proposed a model called Responsibility Sensitivity Safety (RSS). Although RSS models can have a significant impact on improving safety, they have limitations in terms of the efficiency of vehicle flow by securing long safety distances. In this study, the RSS model was improved to modify the existing conservative safety distance. The safety verification was performed by simulating the modified RSS model using Prescan, MATLAB/Simulink.
- Citation
- KIM, M., and Kim, Y., "On Safety Verification for RSS Longitudinal Safety Distance Using Prescan Simulator," SAE MobilityRxiv™ Preprint, submitted February 8, 2023, https://doi.org/10.47953/SAE-PP-00323.