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Floating car and camera data fusion for non-parametric route travel time estimation
KTH, School of Architecture and the Built Environment (ABE), Transport Science.ORCID iD: 0000-0001-8750-8242
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering.ORCID iD: 0000-0002-4106-3126
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering.
2014 (English)In: Procedia Computer Science, Elsevier, 2014, 390-395 p.Conference paper (Refereed)
Abstract [en]

Traffic management centers take advantage of various data collection systems ranging from stationary sensors e.g. automated vehicle identification systems to mobile sensors e.g. fleet management systems. Each type of data collection system has its own advantages and disadvantages. Stationary sensors has less measurement noise than mobile sensors but their network coverage is limited. On the other hand, mobile sensors cover expand areas of road networks but they have less penetration rate and frequency of reports. Traffic state estimation can benefit from fusion of data from various sources as they complement each other. This paper introduces a route travel time estimation method that aggregates data from two traffic data sources, automated number plate recognition system and floating car data.

Place, publisher, year, edition, pages
Elsevier, 2014. 390-395 p.
Keyword [en]
Automatic vehicle identification, Floating car data, Route travel time estimation, Traffic data fusion, Amphibious vehicles, Data acquisition, Data fusion, Fleet operations, Highway traffic control, License plates (automobile), Thermal conductivity, Traffic control, Travel time, Automated vehicle identifications, Fleet management system, Number plate recognition systems, Traffic data, Traffic management centers, Traffic state estimation, Travel time estimation, Information management
National Category
Transport Systems and Logistics
URN: urn:nbn:se:kth:diva-176158DOI: 10.1016/j.procs.2014.08.058ISI: 000349985800050ScopusID: 2-s2.0-84930359961OAI: diva2:874965
5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2014 and the 4th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2014, 22 September - 25 September 2014

QC 20151130

Available from: 2015-11-30 Created: 2015-11-02 Last updated: 2015-12-07Bibliographically approved

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Rahmani, MahmoodJenelius, ErikKoutsopoulos, Harilaos N.
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