Issues and challenges for pedestrian active safety systems based on real world accidents

Autor: Rob Anderson, Thierry Serre, Catherine Masson, Hedi Hamdane
Přispěvatelé: Laboratoire Mécanismes d'Accidents (IFSTTAR/TS2/LMA), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR), Laboratoire de Biomécanique Appliquée (LBA UMR T24), Aix Marseille Université (AMU)-Université Gustave Eiffel, Centre for Automotive Safety Research, University of Adelaide
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Hazard (logic)
Safety Management
Engineering
ACCIDENT RECONSTRUCTION
AEB SYSTEMS
Deceleration
Pedestrian detection
PEDESTRIAN DETECTION
SAFETY PERFORMANCE
ENQUETE SUR LE LIEU DE L'ACCIDENT
Poison control
Human Factors and Ergonomics
Sample (statistics)
Crash
Pedestrian
ABS
Pattern Recognition
Automated
DETECTION
[SPI.AUTO]Engineering Sciences [physics]/Automatic
PIETON
SECURITE ROUTIERE
11. Sustainability
0502 economics and business
0501 psychology and cognitive sciences
DETECTION D'INCIDENT
Safety
Risk
Reliability and Quality
SECURITE
050107 human factors
Simulation
Pedestrians
050210 logistics & transportation
FREINAGE
business.industry
RECONSTITUTION D'ACCIDENT
Protective Devices
05 social sciences
Accidents
Traffic
Public Health
Environmental and Occupational Health
Timeline
Models
Theoretical
Biomechanical Phenomena
Automatic braking
Emergencies
business
Automobiles
Zdroj: Accident Analysis and Prevention
Accident Analysis and Prevention, Elsevier, 2015, pp. 53-60. ⟨10.1016/j.aap.2015.05.014⟩
Accident Analysis & Prevention
Accident Analysis & Prevention, 2015, 82, pp. 53-60. ⟨10.1016/j.aap.2015.05.014⟩
ISSN: 0001-4575
1879-2057
DOI: 10.1016/j.aap.2015.05.014⟩
Popis: The purpose of this study was to analyze real crashes involving pedestrians in order to evaluate the potential effectiveness of autonomous emergency braking systems (AEB) in pedestrian protection. A sample of 100 real accident cases were reconstructed providing a comprehensive set of data describing the interaction between the vehicle, the environment and the pedestrian all along the scenario of the accident. A generic AEB system based on a camera sensor for pedestrian detection was modelled in order to identify the functionality of its different attributes in the timeline of each crash scenario. These attributes were assessed to determine their impact on pedestrian safety. The influence of the detection and the activation of the AEB system were explored by varying the field of view (FOV) of the sensor and the level of deceleration. A FOV of 35 was estimated to be required to detect and react to the majority of crash scenarios. For the reaction of a system (from hazard detection to triggering the brakes), between 0.5 and 1 s appears necessary.
Databáze: OpenAIRE
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