Journal article
Traffic disruption and recovery in road networks
L Zhang, J De Gier, TM Garoni
Physica A Statistical Mechanics and Its Applications | Published : 2014
Abstract
We study the impact of disruptions on road networks, and the recovery process after the disruption is removed from the system. Such disruptions could be caused by vehicle breakdown or illegal parking. We analyze the transient behavior using domain wall theory, and compare these predictions with simulations of a stochastic cellular automaton model. We find that the domain wall model can reproduce the time evolution of flow and density during the disruption and the recovery processes, for both one-dimensional systems and two-dimensional networks. © 2014 Elsevier B.V. All rights reserved.
Grants
Awarded by National Computational Infrastructure
Funding Acknowledgements
This work was supported under the Australian Research Council's Linkage Projects funding scheme (Project No. LP120100258), and T.G. is the recipient of an Australian Research Council Future Fellowship (Project No. FT100100494). This research was undertaken with the assistance of resources provided at the NCI National Computational Merit Allocation Scheme supported by the Australian Government. We also greatly acknowledge access to the computational facilities provided by the Monash Sun Grid.