Traffic and mobility data collection for real-time applications
Name
Ben-Akiva_Traffic and mobility.pdf
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1.63 MB
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Adobe PDF
Checksum (MD5)
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Author(s)
Lopes, J.
Bento, Joao
Huang, E.
Antoniou, Constantinos
Ben-Akiva, Moshe E.
Date Issued
September 2010
Journal
Proceedings of the 2010 13th International IEEE Conference on Intelligent Transportation Systems (ITSC)
Publisher
Institute of Electrical and Electronics Engineers
Citation
Lopes, J. et al. “Traffic and Mobility Data Collection for Real-time Applications.” 2010 13th International IEEE Annual Conference on Intelligent Transportation Systems Madeira Island, Portugal, September 19-22, 2010, IEEE, 2010. 216–223. CrossRef. Web. © 2010 IEEE.
Version
Final published version
Abstract
Successful development of effective real-time traffic management and information systems requires high quality traffic information in real-time. This paper presents the state-of-the-art of traffic and general mobility sensory technology and a suite of methods for data pre-processing and cleaning for real-time applications. We propose a suite of methods and techniques to be applied from traffic data acquisition, preprocessing, transformation and integration until data advanced processing and transfer. Next, we detail some techniques for data preprocessing and integration, or fusion, phases. Even though the comprehensive use of historical traffic data and assignment models to support the most part of online services and operations, real-time data is extremely important to promote models' accuracy and, therefore, the reliability of information and outputs derived from data fusion and processing. Together with techniques and theoretical formulas we present a case study applied to the Portuguese Brisa's A5 motorway, a 25 km inter-urban highway between Lisbon and Cascais. Traffic on this motorway heading to Lisbon in the morning rush hours typically experiences high levels of congestion. Brisa, the motorway operator company, has equipped A5 with a variety of traffic sensors to be used in a real-time multi-purpose way, either for traffic management and control or for traveler information and third-part applications.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Massachusetts Institute of Technology. Intelligent Transportation Systems Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ITSC.2010.5625282
