Modelling and experimental study for automated congestion driving

0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

Urhahne, J. A., Piastowski, P., & van der Voort, M. C. (2015). Modelling and experimental study for automated congestion driving. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9474, pp. 784–794). Springer Verlag. https://doi.org/10.1007/978-3-319-27857-5_70

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free