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 PhD Candidate Shares Transportation Expertise at Dorset COP 24
SUNRISE: collaborative project with Universiti Sains Malaysia supporting sustainability research
Join our November CMWH seminar – two fabulous speakers!
Check out the artwork from the ESRC funded project, Communities of wellbeing: the digital lives of LGBTQ+ young people.
Horizon Europe – ERC CoG and MSCA SE webinars
ERC grants – series of webinars
Blindness and Media Engagement
MaGMap: Mass Grave Mapping
Last reminder – MSCA Postdoctoral Fellowships 2024 internal deadline next week