Effectiveness of the Autonomous Braking and Evasive Steering System OPREVU-AES in Real World Vehicle-to-pedestrian collisions

Ángel Losada; Francisco Javier Páez; Francisco Luque; Luca Piovano

doi:10.20944/preprints202211.0476.v1

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preprints.org > engineering > automotive engineering > doi: 10.20944/preprints202211.0476.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Effectiveness of the Autonomous Braking and Evasive Steering System OPREVU-AES in Real World Vehicle-to-pedestrian collisions

Ángel Losada

^* ,

Francisco Javier Páez

Francisco Luque

Luca Piovano

Version 1 : Received: 24 November 2022 / Approved: 25 November 2022 / Online: 25 November 2022 (10:08:35 CET)

How to cite: Losada, Á.; Páez, F.J.; Luque, F.; Piovano, L. Effectiveness of the Autonomous Braking and Evasive Steering System OPREVU-AES in Real World Vehicle-to-pedestrian collisions. Preprints 2022, 2022110476. https://doi.org/10.20944/preprints202211.0476.v1 Losada, Á.; Páez, F.J.; Luque, F.; Piovano, L. Effectiveness of the Autonomous Braking and Evasive Steering System OPREVU-AES in Real World Vehicle-to-pedestrian collisions. Preprints 2022, 2022110476. https://doi.org/10.20944/preprints202211.0476.v1

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MDPI and ACS Style

Losada, Á.; Páez, F.J.; Luque, F.; Piovano, L. Effectiveness of the Autonomous Braking and Evasive Steering System OPREVU-AES in Real World Vehicle-to-pedestrian collisions. Preprints 2022, 2022110476. https://doi.org/10.20944/preprints202211.0476.v1

APA Style

Losada, Á., Páez, F.J., Luque, F., & Piovano, L. (2022). Effectiveness of the Autonomous Braking and Evasive Steering System OPREVU-AES in Real World Vehicle-to-pedestrian collisions. Preprints. https://doi.org/10.20944/preprints202211.0476.v1

Chicago/Turabian Style

Losada, Á., Francisco Luque and Luca Piovano. 2022 "Effectiveness of the Autonomous Braking and Evasive Steering System OPREVU-AES in Real World Vehicle-to-pedestrian collisions" Preprints. https://doi.org/10.20944/preprints202211.0476.v1

Abstract

Among the possible improvements of Autonomous Emergency Braking (AEB) systems, reducing the intensity of the automatic braking process by studying the kinematics and general behavior of the pedestrian while crossing is crucial to determine the progressiveness of the braking, or replacing part of the braking process by an evasive maneuver when a collision is imminent. This paper proposes the integration of an autonomous avoidance system (Automatic Emergency Steering, AES) that acts directly on the steering system to generate an evasive maneuver and avoid a possible pedestrian collision (OPREVU-AES system), as well as the assessment of its effectiveness compared to a commercial AEB system. OPREVU and VULNEUREA are research projects in which INSIA and CEDINT have cooperated to improve driving assistance systems and the safety of pedestrians and cyclists through Virtual Reality (VR) techniques. The analysis of the kinematic and dynamic response of the OPREVU-AES system is conducted in CarSim© software. The effectiveness evaluation procedure is based on the reconstruction of a sample of road vehicle-to-pedestrian crashes (INSIA-UPM database), using the PCCrash® software, and taking as an indicator the probability of head injury severity (ISP). The results show that the AEB system would have prevented part of the collisions, especially after the incorporation of the OPREVU-AES system. In most of the cases where avoidance is not possible, a significant reduction of the ISP is achieved.

Keywords

pedestrian safety; Autonomous Emergency Braking AEB; Automatic Emergency Steering AES; collision reconstruction; probability of head injury severity ISP

Subject

Engineering, Automotive Engineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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