Journal article
A comparative study of Macroscopic Fundamental Diagrams of arterial road networks governed by adaptive traffic signal systems
L Zhang, TM Garoni, J de Gier
Transportation Research Part B Methodological | Published : 2013
Abstract
Using a stochastic cellular automaton model for urban traffic flow, we study and compare Macroscopic Fundamental Diagrams (MFDs) of arterial road networks governed by different types of adaptive traffic signal systems, under various boundary conditions. In particular, we simulate realistic signal systems that include signal linking and adaptive cycle times, and compare their performance against a highly adaptive system of self-organizing traffic signals which is designed to uniformly distribute the network density. We find that for networks with time-independent boundary conditions, well-defined stationary MFDs are observed, whose shape depends on the particular signal system used, and also ..
View full abstractGrants
Awarded by National Cancer Institute
Funding Acknowledgements
We gratefully acknowledge the financial support of the Roads Corporation of Victoria (VicRoads), and we thank VicRoads staff, in particular Adrian George, Andrew Wall and Hoan Ngo, for numerous valuable discussions. We also thank Carlos Daganzo, Vikash Gayah, Yibing Wang and John Gaffney for useful discussions, and we thank two anonymous referees for their invaluable comments. This work was supported under the Australian Research Council's Linkage Projects funding scheme (project number LP120100258), and T.G. is the recipient of an Australian Research Council Future Fellowship (project number FT100100494). This research was undertaken with the assistance of resources provided at the NCI National Facility through the National Computational Merit Allocation Scheme supported by the Australian Government. We also gratefully acknowledge access to the computational facilities provided by the Monash Sun Grid.