Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Operators Working with Transmission Flexibility: Enhancing Utility Control Rooms with Dynamic Line Rating Technique Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Take-Over Requests Analysis in Conditional Automated Driving and Driver Visual Research Under Encountering Road Hazard of Highway

Authors : Fang You, Yujia Wang, Jianmin Wang, Xichan Zhu, Preben Hansen

Published in: Advances in Human Factors and Systems Interaction

Publisher: Springer International Publishing

Log in

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

search-config
loading …

Abstract

In conditional automated driving, vehicles monitor the driving environment. Simultaneously, driver can also attend to a secondary task, but also need regain driving control when vehicle requests to intervene. The collaboration of vehicle and human driver support the driving experience in this situation. From automated driving to manual driving while in highway scenario, many researchers focus on secondary task engagement, take-over time and requests. This paper evaluates human performance while regaining driving control in conditional automated driving, research investigates take-over requests under highway hazard scenario through visual scanning analysis in lane changing situation. Different obstacles cause driver visual attention mode changes and adaptations. Results show that all participants can take-over in 6 s for voice chat tasks, while in electronic reading condition, not all participants complete can take-over even in 8 s.

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
previous chapter Research on Driver’s Visual and Psychological Characteristics Under Right-Turning Scenario for Car Head-Up Displays
next chapter Alexa vs. Siri vs. Cortana vs. Google Assistant: A Comparison of Speech-Based Natural User Interfaces
Footnotes
Literature
1.
2.
World Health Organization: Global Status Report on Road Safety 2015. WHO Press, Geneva (2015)
3.
4.
Melcher, V., Rauh, S., Diederichs, F., Widlroither, H., Bauer, W.: Take-over requests for automated driving. In: 6th International Conference on Applied Human Factors and Ergonomics. Elsevier B.V., Las Vegas (2015)
5.
Ito, T., Takata, A., Oosawa, K.: Time required for take-over from automated to manual driving. In: SAE 2016 World Congress and Exhibition. SAE International, New York (2016)
6.
Singh Tomar, R., Verma, S.: Safety of lane change maneuver through a priori prediction of trajectory using neural networks. J. Netw. Protoc. Algorithms 4(1), 4–21 (2012)
7.
Damböck, D., Bengler, K., Farid, M., Tönert, L.: Übernahmezeiten beim hochautomatisierten Fahren. Tagung Fahrerassistenz, München (2012)
8.
van den Beukel, A.P., van der Voort, M.C.: The influence of time-criticality on situation awareness when retrieving human control after automated driving. In: 16th International IEEE Annual Conference on Intelligent Transportation Systems, Hague (2013)
9.
Mok, B., Johns, M., Lee, K.J., Miller, D., Sirkin, D., Ive, P., Ju, W.: Emergency, automation off: unstructured transition timing for distracted drivers of automated vehicles. In: IEEE 18th International Conference on Intelligent Transportation Systems. IEEE, New York (2015)
10.
Walch, M., Sieber, T., Hock, P., Baumann, M., Weber, M.: Towards cooperative driving: involving the driver in an autonomous vehicle’s decision making. In: 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, New York (2016)
11.
Borojeni1, S.S., Chuang, L., Heuten, W., Boll, S.: Assisting drivers with ambient take-over requests in highly automated driving. In: 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, New York (2016)
12.
Melcher, V., Rauh, S., Diederichs, F., Widlroither, H., Bauer, W.: Take-over requests for automated driving. In: 6th International Conference on Applied Human Factors and Ergonomics, Elsevier B.V., Amsterdam (Las Vegas)
13.
Wang, X., Yan, L.I.: Characteristics analysis of lane changing behavior based on the naturalistic driving data. J. Traffic Inf. Saf. 1, 17–22 (2016)
14.
Summala, H., Lamble, D., Laakso, M.: Driving experience and perception of the lead car’s breaking when looking at in-car targets. J. Accid. Anal. Prev. 30(4), 401–407 (1998)CrossRef
15.
Worrall, R.D., Bullen, A.G.R.: An empirical analysis of lane changing on multilane highways. In: Highway Research Record 303, pp. 30–43. National Research Council, Washington, DC (1970)
Metadata
Title
Take-Over Requests Analysis in Conditional Automated Driving and Driver Visual Research Under Encountering Road Hazard of Highway
Authors
Fang You
Yujia Wang
Jianmin Wang
Xichan Zhu
Preben Hansen
Copyright Year
2018
Book
Advances in Human Factors and Systems Interaction

Print ISBN: 978-3-319-60365-0

Electronic ISBN: 978-3-319-60366-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-60366-7_22

Premium Partner

    Image Credits