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Simulation of Road Traffic Accidents Related to ADAS Systems in PreScan

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Link to refer to this document:
10.3311/BMEZalaZONE2022-008
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  • Conference on BME ZalaZONE 2022 [22]
Abstract
This paper describes a simulation of a specific accident reconstructed in PreScan software. Through this, we show that the PreScan software can be efficiently applied in accident reconstruction, particularly the operation of ADAS systems can be explored and analyzed. Beyond this, we also demonstrated during our research that the investigated simulation environment can be used efficiently to evaluate the reliability and safety of electronic control units developed to control highly automated vehicle functions. Consequently, we also proved the applicability of concept related to the hybrid multi-agent simulation environment (especially considering the ZalaZONE ecosystem) including differently controlled components (e.g. fully autonomous, human-driven or highly automated vehicles). In the simulation, we examine the Adaptive Cruise Control (ACC), Lane Keeping Assist (LKA), and Automatic Emergency Braking System (AEBS) in the accident. Evaluating the results, we found that the lane-keeping system is very sensitive to the quality of pavement signals. In the selected case, poor-quality signs likely played a major role. On the other hand, it was clear that the properly working safety systems would have been effective in reducing collisions speed, and a longer tracking distance would have had a positive effect. In the case of the adequate operating FCW, the driver would have had sufficient time to intervene and stop the vehicle. In the final section, we analyzed how PreScan can be used to connect an external device to the simulation environment.
Title
Simulation of Road Traffic Accidents Related to ADAS Systems in PreScan
Author
Kazár, Tamás Márton
Pethő, Zsombor
Vida, Gábor
Török, Árpád
Date of issue
2022
Access level
Open access
Copyright owner
Budapest University of Technology and Economics
Conference title
The First Conference on ZalaZONE Related R&I Activities of Budapest University of Technology and Economics 2022
Conference place
Budapest University of Technology and Economics
Conference date
2022.03.31
Language
en
Page
39 - 43
Subject
Adaptive Cruise Control (ACC), Automatic Emergency Braking System (AEBS), Lane Keeping Assist (LKA), PreScan
Version
Kiadói változat
Identifiers
DOI: 10.3311/BMEZalaZONE2022-008
Title of the container document
Proceedings of The First Conference on ZalaZONE Related R&I Activities of Budapest University of Technology and Economics 2022
ISBN, e-ISBN
ISBN 978-963-421-873-9
University
Budapest University of Technology and Economics
Faculty
Faculty of Transportation Engineering and Vehicle Engineering
Department
Department of Automotive Technologies

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