Bournemouth University (BU) collaborates with the Bournemouth Christchurch Poole (BCP) Council and Cambridge University on modeling traffic congestion propagation. The work, conducted by Dr. Wei Koong Chai and Ph.D. Candidate Assemgul Kozhabek from BU advocates the use of epidemic theory to model the spreading of traffic congestion in cities.
The team proposes a modified Susceptible-Infected-Recovered (SIR) model that considers the road network structure for a more accurate representation of congestion spreading. Through an N-intertwined modeling framework and analysis using real-world traffic datasets from California and Los Angeles, the study demonstrates improved agreement with actual congestion conditions. The findings offer valuable insights for developing effective traffic congestion mitigation strategies.
Reference:
A. Kozhabek, W. K. Chai and G. Zheng, “Modeling Traffic Congestion Spreading Using a Topology-Based SIR Epidemic Model,” in IEEE Access, vol. 12, pp. 35813-35826, 2024, doi: 10.1109/ACCESS.2024.3370474.









































BU academics publish in Nepal national newspaper
New BU Physiology paper
Gender and street names
Help Shape the Future of Research at BU: Postgraduate Research Experience Survey 2026 Now Open
3C Event: Research Culture, Community & Cherry Blossom – Tuesday 14 April
REMINDER: 3MT® Competition – Deadline 9am Monday 20 April
ECR Funding Open Call: Research Culture & Community Grant – Apply now
ECR Funding Open Call: Research Culture & Community Grant – Application Deadline Friday 12 December
MSCA Postdoctoral Fellowships 2025 Call
ERC Advanced Grant 2025 Webinar
Update on UKRO services
European research project exploring use of ‘virtual twins’ to better manage metabolic associated fatty liver disease