PCM from iGLAD database

Efforts in the field of vehicle safety have substantially reduced the number of seriously and fatally injured persons in the most European countries. Beside retrospective evaluations of safety systems prospective estimations become more and more important for further improvements of road safety. In the field of passive safety this is commonly done through standardized and reproducible crash tests leading to high costs and a limited number of test scenarios. In the field of active safety there are nearly no standardized test procedures existent at all. In contrast, the real traffic provides an infinite variety of scenarios. Thus, there is a strong need and a high potential for further developments based on simulation. Therefore, the actual vehicle behavior in real traffic accidents has to be simulated for prospective benefit estimations of active safety systems. This can be done with the help of so-called pre-crash matrices (PCM), which describe the vehicle dynamics in a defined time before the collision. Due to the globalized development of vehicles and advanced driver assistance systems (ADAS) in combination with the large variety of traffic situations all over the world, there is an increasing need of evaluating the efficiency of ADAS on the basis of in international data. On the other hand side there is a lack of sufficient global accident data. Therefore, the “Initiative for the Global Harmonization of Accident Data” (iGLAD) was launched in 2011, in which currently ten traffic accident researchers from Europe, North America, Australia and Asia take part in. The aim is to merge high-quality data from different national in-depth investigations. The main goal of this study was the analysis of the iGLAD phase 1 data with regard to the creation of pre-crash simulations. The future aim is the evaluation of the safety potential of ADAS within the variety of road traffic accidents from around the world. The main focus will be on the methodology to derive PCM from this international database. This also includes the definition of minimum requirements to enable the simulation of the vehicle behavior in the pre-crash phase. Furthermore, methods were developed how to deal with unknown data with regard to the different data quality and quantity. For accidents with a non-compliance of the defined requirements appropriate compensation methods were developed. In addition it was analyzed which influence certain assumptions have on the accuracy and reliability of simulations. Finally the study shows the possibility to analyze active safety systems from a global point of view by implementing and assessing an exemplary ADAS for different global traffic accident scenarios. With the work done within the study, especially with the catalogue of requirements and the developed methods, it is possible to create pre-crash simulations not only for upcoming iGLAD releases but also for other international accident databases. (A)

  • Availability:
  • Authors:
    • Spitzhuettl, F
    • Petzold, M
    • Liers, H
  • Publication Date: 2015


  • English

Media Info

  • Media Type: Web
  • Features: Figures; References; Tables;
  • Pagination: V+57+XXVIIIp
  • Serial:
    • FAT-Schriftenreihe
    • Issue Number: 280
    • Publisher: Forschungsvereinigung Automobiltechnik e.V.
    • ISSN: 2192-7863

Subject/Index Terms

Filing Info

  • Accession Number: 01607853
  • Record Type: Publication
  • Source Agency: Bundesanstalt für Straßenwesen (BASt)
  • Files: ITRD
  • Created Date: Jun 21 2016 8:55AM