NDLI: Traffic parameter estimation on motorway networks by combination of filtering techniques

Content Provider	IEEE Xplore Digital Library
Author	Yubin Wang Vrancken, J. Yufei Yuan
Copyright Year	2009
Description	Author affiliation: Faculty of Technology, Policy and Management, Delft University of Technology, Delft, The Netherlands (Yubin Wang; Vrancken, J.; Yufei Yuan)
Abstract	In order to perform road traffic control, it is very important to estimate the traffic parameters which can not be measured directly from sensors. In this paper, we will focus on turn fraction estimation based on a new road network representation which is used in traffic control software at the Dutch traffic management company Trinite´ Automatisering B.V. The common approach for the turn fraction estimation is by applying Kalman filter. However, the sensor information for motorways is not always available due to the fact that there are no physical sensors or detector failure on some parts of motorways. In this case, Kalman filter can not be applied to estimate turn fraction. A new approach by combining of Kalman filter and a low pass data filtering technology called Treiber-Helbing-filter is presented. This approach can contribute solving the problem by using Treiber-Helbing-filter to complete the missing data firstly. Then, turn fraction is able to estimate by using Kalman filter and visualize in traffic control software.
Starting Page	3558
Ending Page	3562
File Size	220019
Page Count	5
File Format	PDF
ISBN	9781424427932
ISSN	1062922X
DOI	10.1109/ICSMC.2009.5346707
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Telecommunication traffic Parameter estimation Filtering Communication system traffic control Traffic control Roads Performance evaluation Detectors Low pass filters Data visualization Turn Fraction Estimation Traffic Control Traffic Parameters Estimation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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
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