1. bookVolume 12 (2021): Edition 1 (May 2021)
Détails du magazine
License
Format
Magazine
eISSN
2336-3037
Première parution
16 Apr 2017
Périodicité
1 fois par an
Langues
Anglais
access type Accès libre

Evaluation of the Hazard Perception Skills of Young Drivers

Publié en ligne: 04 Jun 2021
Volume & Edition: Volume 12 (2021) - Edition 1 (May 2021)
Pages: 78 - 89
Reçu: 14 Oct 2020
Accepté: 22 Feb 2021
Détails du magazine
License
Format
Magazine
eISSN
2336-3037
Première parution
16 Apr 2017
Périodicité
1 fois par an
Langues
Anglais
Abstract

The aim of this study is to collate valuable information about the hazard perception process of (young) drivers and to evaluate their hazard perception skills. For this, an eye-tracking system was used to record the visual behaviour of drivers. In addition, a system based on a data logger and sensors was developed to capture and log the relevant data from the vehicle. By tapping into the vehiclés CAN bus (Controller Area Network), the needed parameters (e.g. position of accelerator, brake, and clutch pedal, as well as the steering wheel angle) were acquired through the reverse engineering of the vehicle′s CAN stream. All the captured data was subsequently synchronized and overlaid in the eye-tracking video. The complete system, i.e. data-logger and sensors, was consistently integrated into a driving school car. Due to the fact that all the data was captured in real-time whilst driving in traffic, every analysed situation can be considered unique and therefore cannot be compared to other situations. The results of the study revealed that only in 18% of the analysed situations, the hazard-perception skills were adequate or the same as they were taught at the driving school just a few months previous. Confronted by the videos of their lessons, the participating drivers adjusted their self-assessment scores for their driving skills downwards by around 25% on average.

Keywords

[1] Dirnbach, I., Kolla, E., Ondruš, J. & Kubjatko, T. (2020). Methodology designed to evaluate accidents at intersection crossings with respect to forensic purposes and transport sustainability. DOI: 10.3390/su12051972.10.3390/su12051972 Search in Google Scholar

[2] Government Digital Service (GDS). Hazard perception test, Retrieved November 6, 2020, from https://www.gov.uk/theory-test/hazard-perception-test. Search in Google Scholar

[3] Federal Ministry for Digitization and Business Location, Federal Legal Information System - search term „Hazard warning*“ (in German), Retrieved November 6, 2020, from https://www.ris.bka.gv.at/Ergebnis.wxe?Abfrage=Bundesnormen&Kundmachungsorgan=&Index=&Titel=&Gesetzesnummer=&VonArtikel=&BisArtikel=&VonParagraf=&BisParagraf=&VonAnlage=&BisAnlage=&Typ=&Kundmachungsnummer=&Unterzeichnungsdatum=&FassungVom=09.11.2020&VonInkrafttretedatum=&BisInkrafttretedatum=&VonAusserkrafttretedatum=&BisAusserkrafttretedatum=&NormabschnittnummerKombination=Und&ImRisSeitVonDatum=&ImRisSeitBisDatum=&ImRisSeit=Undefined&ResultPageSize=100&Suchworte=Gefahrenwahr*&Position=1&SkipToDocumentPage=true. Search in Google Scholar

[4] Horswill, M.S. & McKenna, F.P. (2004). Driver′s hazard perception ability: Situation awareness on the road. ISBN 0754641988. Search in Google Scholar

[5] Waard, D., Axelsson, A., Berglund, M., Peters, B. & Weikert, C. (2010). Human factors as system view of human, technology and organization, Maastricht: Shaker Publishing. ISBN 978-9042303959. Search in Google Scholar

[6] Nickel, M. & Hugemann, W. (2003) Longitudinal and lateral accelerations in everyday traffic (in German). Retrieved December 10, 2020, from https://www.researchgate.net/publication/237485864_LANGS-_UND_QUERBESCHLEUNIGUNGEN_IM_ALLTAGSVERKEHR. Search in Google Scholar

[7] Kolla, E., Vertal, P., Fallast, K., Huber, G., Franz, G., Neuschmied, H., Thallinger, G. & Krebs, F. (2019). Evaluation of SIMMARC: An Audiovisual System for the Detection of Near-Miss Accidents. DOI: 10.1007/978-3-030-38822-5_13.10.1007/978-3-030-38822-5_13 Search in Google Scholar

[8] Ondruš, J. & Kolla, E. (2017). Practical use of the braking attributes measurements results. DOI: 10.1051/matecconf/201713400044.10.1051/matecconf/201713400044 Search in Google Scholar

[9] Kubjatko, T., Görtz, M., Macurová, Ľ. & Ballay, M. (2018). Synergy of forensic and security engineering in relation to the model of deformation energies on vehicles after traffic accidents. DOI: 10.14669/AM.VOL84.ART11. Search in Google Scholar

[10] Böhm, K., Kubjatko, T., Paula, D. & Schweiger, H-G. (2020). New developments on EDR (Event Data Recorder) for automated vehicles. DOI: 10.1515/eng-2020-0007.10.1515/eng-2020-0007 Search in Google Scholar

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