Improving the Representation of Traffic States: A Novel Method for Link Selection of Urban Road Networks

The macroscopic fundamental diagram (MFD) represents the aggregated traffic states of a road network. However, the uniqueness of an empirically estimated MFD cannot be guaranteed due to the problem of link selection. Instationarity and varying flow patterns make it difficult to select link flows that are representative of the traffic state in the whole network. This study developed a new method for selecting links equipped with loop detectors that represent a particular traffic state of a road network. The method utilizes a metric of heterogeneity characterizing the role of a network link over the time of day. The dispersion metric indicates the heterogeneity in traffic states and the dynamic role of each time interval. It ranks links based on the heterogeneity-weighted saturation level, with the highest-rank links representing the most homogeneous subset of sample links. This study compared classical and proposed dynamic weights using loop detector data from Zurich and London and a simulated network. Sample links were selected based on different saturation levels, and the saturation level was associated with the heterogeneity level to identify the links creating heterogeneity in the road network.

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Publication Details

Journal
Journal of Intelligent and Connected Vehicles
Published
2024-12-01
DOI
https://doi.org/10.26599/jicv.2023.9210047
Citations
3
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.80
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article

Improving the Representation of Traffic States: A Novel Method for Link Selection of Urban Road Networks

Bernhard Friedrich, Syed Muzammil Abbas Rizvi
3 citations
Journal of Intelligent and Connected Vehicles
Traffic Prediction and Management Techniques
0.80
article

Improving the Representation of Traffic States: A Novel Method for Link Selection of Urban Road Networks

Bernhard Friedrich, Syed Muzammil Abbas Rizvi
article en
3 citations

Abstract

The macroscopic fundamental diagram (MFD) represents the aggregated traffic states of a road network. However, the uniqueness of an empirically estimated MFD cannot be guaranteed due to the problem of link selection. Instationarity and varying flow patterns make it difficult to select link flows that are representative of the traffic state in the whole network. This study developed a new method for selecting links equipped with loop detectors that represent a particular traffic state of a road network. The method utilizes a metric of heterogeneity characterizing the role of a network link over the time of day. The dispersion metric indicates the heterogeneity in traffic states and the dynamic role of each time interval. It ranks links based on the heterogeneity-weighted saturation level, with the highest-rank links representing the most homogeneous subset of sample links. This study compared classical and proposed dynamic weights using loop detector data from Zurich and London and a simulated network. Sample links were selected based on different saturation levels, and the saturation level was associated with the heterogeneity level to identify the links creating heterogeneity in the road network.

Journal of Intelligent and Connected VehiclesVol. 7(4)
Technische Universität Braunschweig (DE)
Sustainable cities and communities
Openalex Percentile: Top 27%
Traffic Prediction and Management Techniques
0.80
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Improving the Representation of Traffic States: A Novel Method for Link Selection of Urban Road Networks — Bernhard Friedrich, Syed Muzammil Abbas Rizvi · Journal of Intelligent and Connected Vehicles (2024) | TGRS Research Map | TGRS