Symbolic dynamics coarse-graining approach for analysing traffic flow dynamics in complex road networks under flooding

Lin, Xuhui, Lu, Qiuchen, An, Yi, Chen, Nanjiang, Broyd, Tim and Pitt, Michael 2025. Symbolic dynamics coarse-graining approach for analysing traffic flow dynamics in complex road networks under flooding. Presented at: 2024 ASCE International Conference on Computing in Civil Engineering, Pittsburgh, Penn, USA, 28-31 July 2024. Proceedings Computing in Civil Engineering. American Society of Civil Engineers, pp. 145-155. 10.1061/9780784486122.016

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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.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Schools > Engineering
Publisher:	American Society of Civil Engineers
ISBN:	9780784486139
Last Modified:	22 Dec 2025 14:45
URI:	https://orca.cardiff.ac.uk/id/eprint/183418

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