Optimized locating of sensors for approximating the macroscopic fundamental diagram: A PCA-based approach-Reference-Cited by-同舟云学术

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Optimized locating of sensors for approximating the macroscopic fundamental diagram: A PCA-based approach

Published:2024-06 Issue: Volume:163 Page:104627
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

El Bukhari Ahmad,Moshahedi Nadia^ORCID,Kattan Lina^ORCID

Publisher

Elsevier BV

Reference86 articles.

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2. Perimeter and boundary flow control in multi-reservoir heterogeneous networks;Aboudolas;Transp. Res. B Methodol.,2013

3. Partitioning of transportation networks by efficient evolutionary clustering and Density Peaks;Al Alam;Algorithms,2022

4. Data Fusion Algorithm for macroscopic fundamental diagram estimation;Ambühl;Transpor. Res. Part C: Emerg. Technol.,2016

5. Introducing a re-sampling methodology for the estimation of empirical macroscopic fundamental diagrams;Ambühl;Transport. Res. Record: J. Transport. Res. Board,2018

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