NDLI: Longitudinal driving behavior under adverse weather conditions: adaptation effects, model performance and freeway capacity in case of fog

Content Provider	IEEE Xplore Digital Library
Author	Hoogendoorn, R.G. Tamminga, G. Hoogendoorn, S.P. Daamen, W.
Copyright Year	2010
Description	Author affiliation: Delft University of Technology, Civil Engineering and Geosciences, Transport and Planning, Stevinweg 1 PO Box 5048, 2600 GA, The Netherlands (Hoogendoorn, R.G.; Tamminga, G.; Hoogendoorn, S.P.; Daamen, W.)
Abstract	Adverse weather conditions have been shown to have a substantial impact on traffic flow operations. It is however unclear which adaptation effects in actual longitudinal driving behavior underlie this impact, how these adaptation effects relate to freeway capacity as well as to what extent current mathematical models of car-following behavior are adequate in incorporating these adaptation effects. In this regard a driving simulator experiment with a repeated measures design was performed in order to examine the influence of fog on adaptation effects, freeway capacity and parameter value changes and model performance of the Helly model and Intelligent Driver Model. From the results followed that fog led to a decrease in speed as well as in acceleration. Furthermore a substantial increase in distance to the lead vehicle was observed. These effects were implemented and simulated in a traffic simulation model. A substantial reduction in freeway capacity was found. This stresses the need to possess models of driving behavior, which are adequate in describing and predicting these adaptation effects. From the estimation results of the Helly model and IDM using a calibration approach for joint estimation followed that sensitivity factors, maximum acceleration and deceleration decreased substantially after the start of the adverse weather condition. Parameters representing headway increased significantly. Furthermore it followed from the results that the estimated models decreased in performance after the start of the adverse weather conditions
Starting Page	450
Ending Page	455
File Size	991710
Page Count	6
File Format	PDF
ISBN	9781424476572
ISSN	21530017
e-ISBN	9781424476596
DOI	10.1109/ITSC.2010.5625046
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-19
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptation model Driver circuits Mathematical model Vehicles Meteorology Traffic control Acceleration
Content Type	Text
Resource Type	Article

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