NDLI: A Context Aware Intelligent Speed Adaptation system: A Field Operational Test

Content Provider	IEEE Xplore Digital Library
Author	Hoogendoorn, R.G. Breukink, H.J. van Arem, B.
Copyright Year	2012
Description	Author affiliation: Transport and Planning department, Faculty of Civil Engineering and Geosciences, Delft University of Technology, 7500 AE, The Netherlands (Hoogendoorn, R.G.; Breukink, H.J.; van Arem, B.)
Abstract	Speed is one of the main contributors to the occurrence and to the impact of road accidents. Intelligent Transport Systems can play a significant role in the improvement of traffic safety as well as the reduction of greenhouse gas emissions. Combining Intelligent Speed Assistance with limitation of the number of engine revolutions was expected to have positive effects. It was however unclear to what extent such a Context Aware Intelligent Speed Adaptation system influences acceleration and speed in relation with the prevailing maximum speed limit, fuel consumption as well as to what extent users accept the system. Furthermore, it was not clear what the subjective estimate of the impact of this system on driving behavior and safety is. Therefore, an extensive Field Operational Test in the Dutch city of Leiden and neighboring cities was performed with a repeated measures design. Eighteen taxies participated in this FOT, consisting of a control condition (no device) and two experimental conditions. We show that the system has a substantial influence on acceleration and speeding behavior. However some unanticipated results with regard to fuel consumption were established. Furthermore, acceptance of the system is generally low. A substantial influence on the subjective estimates of the impact of the system on driving behavior and safety was found. Finally in this contribution a discussion section and recommendations for future research are provided.
Starting Page	1091
Ending Page	1096
File Size	428391
Page Count	6
File Format	PDF
ISBN	9781467330640
ISSN	21530009
e-ISBN	9781467330633
e-ISBN	9781467330626
DOI	10.1109/ITSC.2012.6338654
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Gears Acceleration Fuels Safety Testing Artificial intelligence
Content Type	Text
Resource Type	Article

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