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Modelling and Experimental Study for Automated Congestion Driving

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Advances in Visual Computing (ISVC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9474))

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Abstract

Taking a collaborative approach in automated congestion driving with a Traffic Jam Assist system requires the driver to take over control in certain traffic situations. In order to warn the driver appropriately, warnings are issued (“pay attention” vs. “take action”) due to a control transition strategy that reacts to lane change manoeuvres by surrounding traffic. This paper presents the outcome of a driving simulator study regarding the evaluation of a control transition strategy. The strategy was found to provide adequate support to drivers. However, driver acceptance can be increased. A refined model is proposed.

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Author information

Authors and Affiliations

  1. Ford Motor Company, Cologne, Germany

    Joseph A. Urhahne & Patrick Piastowski

  2. University of Twente, Enschede, The Netherlands

    Mascha C. van der Voort

Authors
  1. Joseph A. Urhahne
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  2. Patrick Piastowski
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  3. Mascha C. van der Voort
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Corresponding author

Correspondence to Joseph A. Urhahne .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, Nevada, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, California, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, Nevada, USA

    Darko Koracin

  5. University of Houston, Houston, Texas, USA

    Ioannis Pavlidis

  6. IBM T.J. Watson Research Center, Yorktown Heights, New York, USA

    Rogerio Feris

  7. Purdue University, West Lafayette, Indiana, USA

    Tim McGraw

  8. Side Effects Software, Santa Monica, California, USA

    Mark Elendt

  9. The DiVE, Durham, North Carolina, USA

    Regis Kopper

  10. Texas A&M University, College Station, Texas, USA

    Eric Ragan

  11. Kent State University, Kent, Ohio, USA

    Zhao Ye

  12. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Gunther Weber

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Urhahne, J.A., Piastowski, P., van der Voort, M.C. (2015). Modelling and Experimental Study for Automated Congestion Driving. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2015. Lecture Notes in Computer Science(), vol 9474. Springer, Cham. https://doi.org/10.1007/978-3-319-27857-5_70

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  • DOI: https://doi.org/10.1007/978-3-319-27857-5_70

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27856-8

  • Online ISBN: 978-3-319-27857-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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