A data-driven approach for estimating the fundamental diagram
The fundamental diagram links average speed to density or traffic flow. An analytic form of this diagram, with its comprehensive and predictive power, is required in a number of problems. This paper argues, however, that, in some assessment studies, such a form is an unnecessary constraint resulting in a loss of accuracy. A non-analytical fundamental diagram which best fits the empirical data and respects the relationships between traffic variables is developed in this paper. In order to obtain an unbiased fundamental diagram, separating congested and non-congested observations is necessary. When defining congestion in parallel with a safety constraint, the density separating congestion and non-congestion appears as a decreasing function of the flow and not as a single critical density value. This function is here identified and used. Two calibration techniques – a shortest path algorithm and a quadratic optimization with linear constraints – are presented, tested, compared and validated.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/03535320
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Supplemental Notes:
- © 2019 Neila Bhouri et al.
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Authors:
- Bhouri, Neila
- Aron, Maurice
- Hajsalem, Habib
- Publication Date: 2019
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 117-128
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Serial:
- PROMET-Traffic & Transportation
- Volume: 31
- Issue Number: 2
- Publisher: University of Zagreb
- ISSN: 0353-5320
- EISSN: 1848-4069
- Serial URL: https://traffic2.fpz.hr/index.php/PROMTT
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Average travel speed; Calibration; Optimization; Shortest path algorithms; Traffic congestion; Traffic density; Traffic flow; Validation
- Uncontrolled Terms: Fundamental diagrams
- Subject Areas: Highways; Planning and Forecasting;
Filing Info
- Accession Number: 01712509
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 26 2019 11:50AM