Deliverable 2.1. Accident Analysis, Naturalistic Observations and Project Implications - Part B. Naturalistic Observations

Deliverable D2.1 'Accident Analysis, Naturalistic Observations and Project Implications' is issued in the scope of WP2 'Accident analysis and user needs' from the PROSPECT project. The objective of WP2 is to generate the user requirements for next generation proactive safety systems, with a focus on the specific needs of vulnerable road users (VRUs). Part A of deliverable D2.1 (Accident data analyses) provided results from task T2.1 'Characteristics of vehicle to VRU accidents'. Within this task, an in-depth accident analysis involving Vulnerable Road Users was carried out in Europe, focusing mainly on pedestrians and cyclists. The output already obtained from task T2.1 has provided information about the current safety situation and the identification of the most relevant car-to-cyclist and car-to-pedestrian accident scenarios where safety improvements are necessary. This data has been used to define the use cases of PROSPECT, and the system development will focus on the most relevant of these. The overall process of use case definition for PROSPECT and the associated test catalogue derived from the accident analysis data is provided in deliverable D3.1 'The addressed VRU scenarios within PROSPECT and associated test catalogue', available in May 2016. This report corresponds to Part B of deliverable D2.1, which seeks to provide additional knowledge to the project through naturalistic observations within selected European cities in order to establish how vehicles and VRUs interact in real traffic situations. This work has been developed in task T2.2. Naturalistic observations facilitate a better understanding of potentially dangerous traffic situations with VRUs. In particular, it includes the identification of motions, behaviours and interactions that lead to such situations, from both VRU and driver perspective. Additional to the information provided from the accident databases, it is necessary to identify the parameters that signal VRU intent in order to enable earlier and more precise reactions by safety systems. Naturalistic observations are therefore crucial for the development of advanced algorithms integrated in next generation PROSPECT-like systems, and must be also taken into account as relevant factors for the definition of test scenarios. An introduction and specific objectives of the task are presented in this part, as well as the methodology for data acquisition and extraction of conflicts regarding VRUs in real-world traffic from infrastructure-mounted and/or vehicle-based sensors and cameras in Lyon, Budapest and Barcelona. An additional study made on Helmond on cyclist behaviour is also described. The parameters considered for the analyses of conflicts are provided, as well as analysis of the conflicts. Finally, this part of the document offers a general conclusion about the results obtained from the naturalistic observations.

  • Record URL:
  • Authors:
    • BRUYAS, Marie-Pierre
    • ESTRAILLIER, Céline
    • PEREZ, Julien
    • MOREAU, Fabien
    • DENIEL, Jonathan
    • LETISSERAND, Daniel
    • AMBELLOUIS, Sébastien
    • HALIMA, Imen
    • SANZ, Laura
    • CASTRO, Daniel
    • COSTA, Joan
    • BANFI, Miklós Gábor
    • KOZEL, Miklós
    • SOLTESZ, Tamás
    • TOTH, János
    • MATRAI, Tamás
    • MEIJER, Riske
    • GOYENECHEA, Maria
    • DE HAIR, Stefanie
  • Publication Date: 2016

Language

  • English

Media Info

  • Media Type: Digital/other
  • Pagination: 93 p

Subject/Index Terms

Filing Info

  • Accession Number: 01688817
  • Record Type: Publication
  • Source Agency: Institut Francais des Sciences et Technologies des Transports, de l'Amenagement et des Reseaux (IFSTTAR)
  • Contract Numbers: EC/H2020/634149/EU/PROactive Safety for PEdestrian
  • Files: ITRD
  • Created Date: Dec 18 2018 10:16AM