Dynamic and heterogeneity-sensitive urban network partitioning : a data-driven technique
- Author
- Hossein Moradi, Sara Sasaninejad (UGent) , Sabine Wittevrongel (UGent) and Joris Walraevens (UGent)
- Organization
- Project
- Abstract
- 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%.
- Keywords
- Network partitioning, network fundamental diagram, connected vehicles, mixed traffic, data-driven techniques, VISSIM, TRAFFIC SIGNAL CONTROL, PERIMETER CONTROL, PRIVATE CONSTRUCTIONS, FUNDAMENTAL DIAGRAM, FLOW-CONTROL, APPROXIMATION, OPTIMIZATION, VEHICLES, FIEDLER, IMPACTS
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HV3XGJPMVA7ADKGFGHGQXX92
- MLA
- Moradi, Hossein, et al. “Dynamic and Heterogeneity-Sensitive Urban Network Partitioning : A Data-Driven Technique.” TRANSPORTMETRICA B-TRANSPORT DYNAMICS, vol. 11, no. 1, 2023, pp. 1727–50, doi:10.1080/21680566.2023.2240961.
- APA
- Moradi, H., Sasaninejad, S., Wittevrongel, S., & Walraevens, J. (2023). Dynamic and heterogeneity-sensitive urban network partitioning : a data-driven technique. TRANSPORTMETRICA B-TRANSPORT DYNAMICS, 11(1), 1727–1750. https://doi.org/10.1080/21680566.2023.2240961
- Chicago author-date
- Moradi, Hossein, Sara Sasaninejad, Sabine Wittevrongel, and Joris Walraevens. 2023. “Dynamic and Heterogeneity-Sensitive Urban Network Partitioning : A Data-Driven Technique.” TRANSPORTMETRICA B-TRANSPORT DYNAMICS 11 (1): 1727–50. https://doi.org/10.1080/21680566.2023.2240961.
- Chicago author-date (all authors)
- Moradi, Hossein, Sara Sasaninejad, Sabine Wittevrongel, and Joris Walraevens. 2023. “Dynamic and Heterogeneity-Sensitive Urban Network Partitioning : A Data-Driven Technique.” TRANSPORTMETRICA B-TRANSPORT DYNAMICS 11 (1): 1727–1750. doi:10.1080/21680566.2023.2240961.
- Vancouver
- 1.Moradi H, Sasaninejad S, Wittevrongel S, Walraevens J. Dynamic and heterogeneity-sensitive urban network partitioning : a data-driven technique. TRANSPORTMETRICA B-TRANSPORT DYNAMICS. 2023;11(1):1727–50.
- IEEE
- [1]H. Moradi, S. Sasaninejad, S. Wittevrongel, and J. Walraevens, “Dynamic and heterogeneity-sensitive urban network partitioning : a data-driven technique,” TRANSPORTMETRICA B-TRANSPORT DYNAMICS, vol. 11, no. 1, pp. 1727–1750, 2023.
@article{01HV3XGJPMVA7ADKGFGHGQXX92,
abstract = {{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%.}},
author = {{Moradi, Hossein and Sasaninejad, Sara and Wittevrongel, Sabine and Walraevens, Joris}},
issn = {{2168-0566}},
journal = {{TRANSPORTMETRICA B-TRANSPORT DYNAMICS}},
keywords = {{Network partitioning,network fundamental diagram,connected vehicles,mixed traffic,data-driven techniques,VISSIM,TRAFFIC SIGNAL CONTROL,PERIMETER CONTROL,PRIVATE CONSTRUCTIONS,FUNDAMENTAL DIAGRAM,FLOW-CONTROL,APPROXIMATION,OPTIMIZATION,VEHICLES,FIEDLER,IMPACTS}},
language = {{eng}},
number = {{1}},
pages = {{1727--1750}},
title = {{Dynamic and heterogeneity-sensitive urban network partitioning : a data-driven technique}},
url = {{http://doi.org/10.1080/21680566.2023.2240961}},
volume = {{11}},
year = {{2023}},
}
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