Time-to-collision for the Pedestrian Protection System simulation

The development of autonomous vehicles has increased significantly, with a high focus on driving safety. Pedestrian avoidance systems are a top priority for ensuring higher pedestrian safety. The Pedestrian Protection System (PPS) is mainly observed in current research to analyze the impact of the time-to-collision for collision avoidance with a pedestrian for different vehicle speed variations. The PPS is a critical system that prevents vehicle and pedestrian collisions based on multiple sensors such as camera and RADAR (radio detection and ranging). Time-to-collision value represents a reliable parameter for the PPS for classifying the traffic conflict between a vehicle and a pedestrian as an inevitable or avoidable event. Simcenter Prescan was used to simulate the traffic infrastructure, the vehicle dynamics of the models, and the sensors. This study aims to evaluate the potential impact of different values of the time-to-collision parameter on the avoidance of collision with the pedestrian. The results showed that Pedestrian Protection System could completely avoid a pedestrian collision.

• Record URL:
  • https://doi.org/10.1016/j.trpro.2023.11.278
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2352146523005756
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
• Supplemental Notes:
  • © 2023 The Author(s). Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
• Authors:
  • Roșu, Ioana-Alexandra
  • Carabulea, Laurențiu
  • Buzdugan, Ioana-Diana
  • Antonya, Csaba
• Conference:
  • TRANSCOM 2023: 15th International Scientific Conference on Sustainable, Modern and Safe Transport
  • Location: Mikulov , Czech Republic
  • Date: 2023-5-29 to 2023-5-31
• Publication Date: 2023

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 1325-1332
• Serial:
  • Transportation Research Procedia
  • Volume: 74
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2352-1465
  • Serial URL: http://www.sciencedirect.com/science/journal/23521465/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Cameras; Crash avoidance systems; Pedestrian vehicle crashes; Radar; Sensors
• Subject Areas: Data and Information Technology; Highways; Pedestrians and Bicyclists; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01916441
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 23 2024 10:49AM