Dynamic and heterogeneity-sensitive urban network partitioning: a data-driven technique
Information of Connected Vehicles (CVs) could describe vehicular dynamics in much greater detail, enhancing the effectiveness of traffic control systems. One important such system is perimeter control, which can achieve better performance by incorporating the evolution of congestion into the identification of protected regions through a dynamic approach. However, little attention has been given to identifying such dynamic regions by developing CV-based network partitioning models in a spatiotemporal dimension. To address this gap, this paper proposes a three-module framework that (1) collects the relevant information of CVs, (2) performs initial partitioning based on some rational considerations, and (3) identifies the optimal protected regions through a partitioning evaluation, improvement, and iteration algorithm. The carried-out comparisons between perimeter control systems employing the resulting protected regions and those using static regions confirm that the proposed framework enhances the efficiency of perimeter control, even for CVs' penetration rates that are as low as 15%.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/21680566
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Supplemental Notes:
- © 2023 Hong Kong Society for Transportation Studies Limited. Abstract reprinted with permission of Taylor & Francis.
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Authors:
- Moradi, Hossein
- Sasaninejad, Sara
- Wittevrongel, Sabine
- Walraevens, Joris
- Publication Date: 2023-12
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References;
- Pagination: pp 1727-1750
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Serial:
- Transportmetrica B: Transport Dynamics
- Volume: 11
- Issue Number: 1
- Publisher: Taylor & Francis
- ISSN: 2168-0566
- EISSN: 2168-0582
- Serial URL: https://www.tandfonline.com/toc/ttrb20/current
Subject/Index Terms
- TRT Terms: Connected vehicles; Heterogeneity; Networks; Traffic congestion; Vehicle dynamics; Vehicle mix
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 01901174
- Record Type: Publication
- Files: TRIS
- Created Date: Dec 1 2023 9:11AM