NDLI: LONGITUDINAL DRIVING BEHAVIOR UNDER ADVERSE WEATHER CONDITIONS Adaptation Effects , Parameter Value Changes and Model Performance in case of Fog

Please wait, while we are loading the content...

LONGITUDINAL DRIVING BEHAVIOR UNDER ADVERSE WEATHER CONDITIONS Adaptation Effects , Parameter Value Changes and Model Performance in case of Fog

Content Provider	Semantic Scholar
Author	Hoogendoorn, Raymond Hoogendoorn, Serge P. Karel Brookhuis Daamen, Winnie
Copyright Year	2010
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 nor to what extent current mathematical models of carfollowing behavior are adequate in incorporating these adaptation effects. A driving simulator experiment with a repeated measures design was performed to investigate the influence of fog on adaptation effects in longitudinal driving behavior as well as to gain insight into parameter value changes and model performance of the Helly model and the Intelligent Driver Model under this adverse weather condition. From the results it followed that fog led to substantial adaptation effects in longitudinal driving behavior. A decrease in speed as well as in acceleration could be observed. Furthermore, a substantial increase in actual distance to the lead vehicle was observed. From the model estimation results of the Helly model and Intelligent Driver Model using a calibration approach for joint estimation it followed that sensitivity factors, maximum acceleration and deceleration decreased substantially after the start of the adverse weather condition. Parameters representing headway increased substantially. Furthermore, it followed from the results that the estimated models decreased in performance after the start of the adverse weather condition. It is concluded that it is essential to develop car-following models able to adequately incorporate these adaptation effects following adverse weather conditions.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://rstrail.nl/new/wp-content/uploads/2015/02/Hoogendoorn.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in