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A New Online Travel Time Estimation Approach using Distorted Automatic Vehicle Identification Data
KTH, School of Architecture and the Built Environment (ABE), Transport and Economics (closed 20110301). KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Traffic Research, CTR.
KTH, School of Architecture and the Built Environment (ABE), Transport and Economics (closed 20110301).
Abstract [en]

Online travel time estimation is an important procedure for real-time traffic information systems (RTIS). In this paper, we describe a preliminary travel time data collection and estimation platform developed for RTIS application based on automated vehicle identification technique deployed in the Stockholm city area. The platform is composed of a client-side travel time analysis program and a database server. To obtain accurate real-time link travel times for traffic state prediction and RTIS applications, an optimal filtering algorithm is developed and evaluated using travel time data collected on urban streets in and near the city of Stockholm. The proposed algorithm shows reliable performance against the highly noisy traffic context, and is more robust than existing online travel time estimation algorithms. The estimated travel time information provides a solid basis for advanced traffic information system applications.

Place, publisher, year, edition, pages
2008. 204-209 p.
Keyword [en]
Automated vehicle identifications, Automatic vehicle identifications, Data-base servers, Link travel time, Optimal filtering, Real-time traffic informations, Reliable performance, Solid basis, Stockholm, Traffic information systems, Traffic state, Travel time, Travel time datum, Travel time estimations, Travel time informations, Urban streets, Applications, Estimation, Highway traffic control, Information systems, Intelligent vehicle highway systems, Online systems, Street traffic control, Traffic surveys, Vehicle locating systems
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-10799DOI: 10.1109/ITSC.2008.4732576ISI: 000262929300034ScopusID: 2-s2.0-60849103109ISBN: 978-1-4244-2111-4OAI: diva2:227990
11th IEEE International Conference on Intelligent Transportation Systems (ITSC 2008), Beijing, PEOPLES R CHINA, OCT 12-15, 2008
QC 20110311Available from: 2009-07-22 Created: 2009-07-22 Last updated: 2011-03-11Bibliographically approved

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Ma, XiaoliangKoutsopoulos, Harilaos
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Transport and Economics (closed 20110301)Centre for Traffic Research, CTR
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ReferencesLink to record
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