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New frontiers of fr...
New frontiers of freeway traffic control and estimation
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- Delle Monache, M. L. (author)
- Univ Calif Berkeley, Dept Civil & Environm Engn, Berkeley, CA 94720 USA.
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- Pasquale, C. (author)
- Univ Genoa, Dept Informat Bioengn Robot & Syst Engn, Genoa, Italy.
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- Barreau, Matthieu (author)
- KTH,Reglerteknik
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- Stern, R. (author)
- Univ Minnesota, Dept Civil Environm & Geoengn, Minneapolis, MN 55455 USA.
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Univ Calif Berkeley, Dept Civil & Environm Engn, Berkeley, CA 94720 USA Univ Genoa, Dept Informat Bioengn Robot & Syst Engn, Genoa, Italy. (creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2022
- 2022
- English.
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In: 2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC). - : Institute of Electrical and Electronics Engineers (IEEE). ; , s. 6910-6925
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- This article provides an overview of the classical and new techniques in traffic flow control and estimations. The overview begins with a description of the most used traffic flow models for estimation and control. Then, it shifts towards using those models for traffic flow estimation using physics-informed machine learning techniques. Lastly, it focuses on traffic flow control describing the most classical techniques and the new advancement in traffic control using autonomous vehicles.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
Publication and Content Type
- ref (subject category)
- kon (subject category)
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