Traffic and mobility data collection for real-time applications
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...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2013
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| Online Access: | http://hdl.handle.net/1721.1/77592 https://orcid.org/0000-0003-0203-9542 |
| _version_ | 1811094164889141248 |
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| author | Lopes, J. Bento, Joao Huang, E. Antoniou, Constantinos Ben-Akiva, Moshe E. |
| author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Lopes, J. Bento, Joao Huang, E. Antoniou, Constantinos Ben-Akiva, Moshe E. |
| author_sort | Lopes, J. |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T15:55:56Z |
| format | Article |
| id | mit-1721.1/77592 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:55:56Z |
| publishDate | 2013 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/775922022-10-02T05:08:23Z Traffic and mobility data collection for real-time applications Lopes, J. Bento, Joao Huang, E. Antoniou, Constantinos Ben-Akiva, Moshe E. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Massachusetts Institute of Technology. Intelligent Transportation Systems Laboratory Ben-Akiva, Moshe E. Huang, E. Antoniou, Constantinos 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-Portugal Program Brisa – Auto-estradas de Portugal, S.A. 2013-03-06T21:27:22Z 2013-03-06T21:27:22Z 2010-09 Article http://purl.org/eprint/type/ConferencePaper 9781424476596 1424476593 9781424476572 1424476577 2153-0009 INSPEC Accession Number: 11639519 http://hdl.handle.net/1721.1/77592 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. https://orcid.org/0000-0003-0203-9542 en_US http://dx.doi.org/10.1109/ITSC.2010.5625282 Proceedings of the 2010 13th International IEEE Conference on Intelligent Transportation Systems (ITSC) 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. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | Lopes, J. Bento, Joao Huang, E. Antoniou, Constantinos Ben-Akiva, Moshe E. Traffic and mobility data collection for real-time applications |
| title | Traffic and mobility data collection for real-time applications |
| title_full | Traffic and mobility data collection for real-time applications |
| title_fullStr | Traffic and mobility data collection for real-time applications |
| title_full_unstemmed | Traffic and mobility data collection for real-time applications |
| title_short | Traffic and mobility data collection for real-time applications |
| title_sort | traffic and mobility data collection for real time applications |
| url | http://hdl.handle.net/1721.1/77592 https://orcid.org/0000-0003-0203-9542 |
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