Lin, Xuhui;
Lu, Qiuchen;
An, Yi;
Chen, Nanjiang;
Broyd, Tim;
Pitt, Michael;
(2025)
Symbolic Dynamics Coarse-Graining Approach for Analysing Traffic Flow Dynamics in Complex Road Networks Under Flooding.
In: Akinci, Burcu and Bergés, Mario and Jazizadeh, Farrokh and Menassa, Carol C and Yeoh, Justin, (eds.)
Computing in Civil Engineering 2024: Building Information Modeling, Digital Twins, and Simulation and Visualization.
(pp. pp. 145-155).
American Society of Civil Engineers (ASCE): Pittsburgh, PA, USA.
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Abstract
In the context of climate change, accurately understanding and predicting traffic flow patterns in transportation systems is increasingly vital. Traditional models, which often rely on flow-speed-density relationships, statistical methods, and time series algorithms, assume determinism or higher order linearity but struggle to capture the inherent nonlinearity of transportation systems, particularly under flood conditions. This study introduces a novel framework using a symbolic dynamics coarse-graining algorithm to analyse traffic systems’ nonlinearity. The approach refines phase space, transforms time series into symbolic vectors, and constructs a weighted directed network to interpret traffic flow dynamics. The study assesses the precision of this method using London’s road transportation network data under flooding conditions. Results indicate that the proposed network features effectively reveal periodic patterns and nonlinear dynamics of traffic flow, especially during floods. This enhanced understanding of traffic flow dynamics contributes to developing more robust traffic management strategies and improving the resilience of transportation networks in flood conditions. The findings are significant for researchers, authorities, and policymakers, as they offer insights for real-time traffic control and policy decisions aimed at bolstering transportation resilience.
| Type: | Proceedings paper |
|---|---|
| Title: | Symbolic Dynamics Coarse-Graining Approach for Analysing Traffic Flow Dynamics in Complex Road Networks Under Flooding |
| Event: | 2024 ASCE International Conference on Computing in Civil Engineering |
| Location: | Carnegie Mellon University, Pittsburgh, Pennsylvania, USA |
| Dates: | 28 Jul 2024 - 31 Jul 2024 |
| ISBN-13: | 9780784486122 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1061/9780784486122.016 |
| Publisher version: | https://doi.org/10.1061/9780784486122.016 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10199273 |
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