Top

Published in:

2020 | OriginalPaper | Chapter

Determining Infrastructure- and Traffic Factors that Increase the Perceived Complexity of Driving Situations

Authors : Anika Boelhouwer, Arie Paul van den Beukel, Mascha C. van der Voort, Marieke H. Martens

Published in: Advances in Human Aspects of Transportation

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

When designing experimental studies in the driving domain, an important decision is which driving scenarios to include. It is proposed that HMI need to be adaptive to the complexity of the driving situation, in order to avoid overloading the driver. To further study adaptive HMI a comprehensive list of factors that determine the perceived complexity of a driving situation is required, yet absent. In this, infrastructure- and traffic characteristics that may influence the perceived complexity of a driving situation were collected from literature. Next, four sets of driving scenarios of varying complexities were created and validated in an online survey. The results of this study include: 1) a list of infrastructure- and traffic characteristics that influence the overall complexity of a driving situation, and 2) validated scenarios of varying complexities. These outcomes help researchers and designers in setting up future driving studies.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

next chapter Development of Statistical Models for Predicting Automobile Seat Fit of Drivers

Boelhouwer, A., van Dijk, J., Martens, M.H.: Turmoil behind the automated wheel. In: Krömker, H. (ed.) HCI in Mobility, Transport, and Automotive Systems, pp. 3–25. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22666-4_1

Lilis, Y., Zidianakis, E., Partarakis, N., Antona, M., Stephanidis, C.: Personalizing HMI elements in ADAS using ontology meta-models and rule based reasoning. In: International Conference on Universal Access in Human-Computer Interaction, pp. 383–401. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58706-6_31

Mueller, M.: Deficiency drive. Vision Zero International, pp. 44–47 (2014)

Kroon, E.C.M., Martens, M.H., Brookhuis, K., Hagenzieker, M., Alferdinck, J.W.A.M., Harms, I., Hof, T.: Human factor guidelines for the design of safe in-car traffic information services (2016)

Radlmayr, J., Gold, C., Lorenz, L., Farid, M., Bengler, K.J.: How traffic situations and non-driving related tasks affect the take-over quality in highly automated driving. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, pp. 2063–2067 (2014). https://doi.org/10.1177/1541931214581434

Lyu, N., Xie, L., Wu, C., Fu, Q., Deng, C.: Driver’s cognitive workload and driving performance under traffic sign information exposure in complex environments: a case study of the highways in China. Int. J. Environ. Res. Public Health 14, 1–25 (2017). https://doi.org/10.3390/ijerph14020203CrossRef

Gold, C., Körber, M., Lechner, D., Bengler, K.J.: Taking over control from highly automated vehicles in complex traffic situations. Hum. Fact. J. Hum. Fact. Ergon. Soc. 58, 642–652 (2016). https://doi.org/10.1177/0018720816634226CrossRef

Jamson, A.H., Merat, N., Carsten, O., Lai, F.C.H.: Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions. Transp. Res. Part C Emerg. Technol. 30, 116–125 (2013). https://doi.org/10.1016/j.trc.2013.02.008CrossRef

Fastenmeier, W.: Die Verkehrssituation als Analyseeinheit im Verkehrssystem. In: Fastenmeier, W. (ed.) Autofahrer und Verkehrssituation - Neue Wege zur Bewertung von Sicherheit und Zuverlässigkeit moderner Straßenverkehrssysteme, pp. 27–82. Verlag TÜV Rheinland, Köln (1995)

10.

Benda, H.V.: Scaling of the dangerousness of road traffic situations. Part 1: A classification system for road traffic situations from the drivers’ perspective (1977)

11.

Hackman, J.R.: Tasks and task performance in research on stress. In: McGrath, J.E. (ed.) Social and Psychological Factors in Stress, pp. 202–237. Rinehart & Winston, New York (1970)

12.

Matthews, G., Tsuda, A., Xin, G., Ozeki, Y.: Individual differences in driver stress vulnerability in a Japanese sample. Ergonomics 42, 401–415 (1999). https://doi.org/10.1080/001401399185559CrossRef

13.

De Waard, D.: Driving behaviour on a high-accident-rate motorway in the Netherlands. In: Weikert, C., Brookhuis, K.A., Ovidius (eds.) Proceedings of the Europe Chapter of the Human Factors Society Annual Meeting (1991)

14.

Zeitlin, L.R.: Estimates of driver mental workload: a long-term field trial of two subsidiary tasks. Hum. Fact. J. Hum. Fact. Ergon. Soc. 37, 611–621 (2006). https://doi.org/10.1518/001872095779049327CrossRef

15.

Casler, K., Bickel, L., Hackett, E.: Separate but equal? A comparison of participants and data gathered via Amazon’s MTurk, social media, and face-to-face behavioral testing. Comput. Hum. Behav. 29, 2156–2160 (2013). https://doi.org/10.1016/j.chb.2013.05.009CrossRef

Title: Determining Infrastructure- and Traffic Factors that Increase the Perceived Complexity of Driving Situations
Authors: Anika Boelhouwer
Arie Paul van den Beukel
Mascha C. van der Voort
Marieke H. Martens
Publisher: Springer International Publishing
Book: Advances in Human Aspects of Transportation
Print ISBN: 978-3-030-50942-2

Electronic ISBN: 978-3-030-50943-9

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-50943-9_1

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner