Naturalistic Driving. Eine neue Methode der Datengewinnung

Naturalistic Driving. A new Method for Data Collection

Naturalistic Driving (ND) ist eine neue Forschungsmethode, bei der Fahrzeugfuehrer ueber lange Zeitraeume hinweg beim Fahren unter realen Verkehrsbedingungen moeglichst unauffaellig von einer elektronischen Messeinheit beobachtet werden. lten des Fahrers und die direkte Umgebung. Durch dieses Verfahren erhaelt man Informationen, die durch andere Forschungsmethoden kaum oder gar nicht zu gewinnen sind, etwa ueber das Verhalten vor einem Unfall oder ueber Beinahe-Unfaelle. Die Erfahrungen in den USA haben gezeigt, dass ND ein zuverlaessiges Bild "normalen" Fahrverhaltens geben kann und es ermoeglicht, den Zusammenhang zwischen Fahrer, Fahrzeug, Strasse und anderen Verkehrsteilnehmern unter normalen Bedingungen, in Konfliktsituationen und in tatsaechlichen Kollisionen zu beobachten und zu analysieren. Das PROLOGUE-Projekt soll Machbarkeit und Nutzen einer grossen europaeischen ND-Studie beurteilen und eine wissenschaftliche und organisatorische Basis fuer diese neue Art der Forschung errichten. PROLOGUE umfasst eine Reihe kleinerer Pilotstudien in verschiedenen Forschungsbereichen, einschliesslich Fahranfaenger, Informationssysteme in Fahrzeugen und ungeschuetzter Verkehrsteilnehmer, die mittels standortbezogener Beobachtungen durchgefuehrt wurden. Damit wurden potenzielle Forschungs- und Anwendungsbereiche fuer ND identifiziert. Zur Gesamtaufnahme siehe ITRD D366371. (KfV/K) alistic Driving study, the subjects' own cars are equipped with devices that, over a longer period of time, continuously monitor various aspects of their driving behavior in an unobtrusive way and without the presence of a test supervisor. This includes aspects of vehicle movement, driver behavior, and the direct environment. Naturalistic observations of pedestrians and cyclists can be carried out using site-based fixed cameras. Naturalistic observations provide information that is difficult or even impossible to obtain through current research methods. For example, analyses of crash statistics or in-depth crash investigations cannot provide much information about behavioral issues preceding a crash or about near misses. Observations by means of instrumented vehicles or simulators do not encourage the test subjects to behave in a normal (naturalistic) way, since they are generally well aware of the experimental conditions. Experiences in the US have indicated that the naturalistic approach may give a reliable picture of the driver's normal behavior and makes it possible to observe and analyze the interrelationship between the driver, vehicle, road and other road users under normal conditions, in conflict situations and in actual collisions. The PROLOGUE project aims at assessing the feasibility and usefulness of a large-scale European naturalistic driving study and at establishing a scientific and organizational basis for this new type of research. The work in PROLOGUE comprises a number of small-scale pilot studies in different research areas, including novice drivers, in-vehicle information systems, and vulnerable road users, through site-based observations. The pilot studies are preceeded by an inventory of the technical, methodological and organizational issues. The work has identified potential areas of application and research topics for which the naturalistic approach would have an added value. Ongoing naturalistic studies have been reviewed and summarized. A survey has been carried out to support the preparation of a catalogue of applications and research topics for future naturalistic driving studies. (A)

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783642155024
• Authors:
  • WINKELBAUER, M
  • EICHHORN, A
  • Sagberg, F
  • BACKER-GRONDAHL, A
• Publication Date: 2010

Language

• English

Media Info

• Pagination: 163-76
• Serial:
  • ADVANCES IN INTELLIGENT AND SOFT COMPUTING. DATA AND MOBILITY. TRANSFORMING INFORMATION INTO INTELLIGENT TRAFFIC AND TRANSPORTATION SERVICES. PROCEEDINGS OF THE LAKESIDE CONFERENCE 2010
  • Issue Number: 81
  • Publisher: Springer Verlag
  • ISSN: 1867-5662

Subject/Index Terms

• TRT Terms: Aptitude; Behavior; Conferences; Crashes; Data banks; Data collection; Drivers; Driving; Field tests; Hazards; Methodology; Near midair crashes
• Geographic Terms: Europe
• ITRD Terms: 1642: Beinahe Unfall; 8614: Datenbank; 8623: Datenerfassung; 8034: Europa; 1772: Fahrer; 2226: Fahrtauglichkeit; 1855: Fahrzeugführung; 6226: In situ; 8525: Konferenz; 9150: Risiko; 1643: Unfall; 9102: Verfahren; 9001: Verhalten; 6750: Videokamera
• Subject Areas: Aviation; Safety and Human Factors; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01323668
• Record Type: Publication
• Source Agency: Kuratorium für Verkehrssicherheit (KfV)
• ISBN: 978-3-642-15502-4
• Files: ITRD
• Created Date: Dec 22 2010 9:12AM