Name
Abstract | ||
|---|---|---|
The elementary cellular automaton following rule 184 can mimic particles flowing in one direction at a constant speed. Therefore, this automaton can model highway traffic qualitatively. In a recent paper, we have incorporated intersections regulated by traffic lights to this model using exclusively elementary cellular automata. In such a paper, however, we only explored a rectangular grid. We now extend our model to more complex scenarios using an hexagonal grid. This extension shows first that our model can readily incorporate multiple-way intersections and hence simulate complex scenarios. In addition, the current extension allows us to study and evaluate the behavior of two different kinds of traffic-light controller for a grid of six-way streets allowing for either two- or three-street intersections: a traffic light that tries to adapt to the amount of traffic (which results in self-organizing traffic lights) and a system of synchronized traffic lights with coordinated rigid periods (sometimes called the “green-wave” method). We observe a tradeoff between system capacity and topological complexity. The green-wave method is unable to cope with the complexity of a higher-capacity scenario, while the self-organizing method is scalable, adapting to the complexity of a scenario and exploiting its maximum capacity. Additionally, in this article, we propose a benchmark, independent of methods and models, to measure the performance of a traffic-light controller comparing it against a theoretical optimum. © 2011 Wiley Periodicals, Inc. Complexity, 2012 © 2012 Wiley Periodicals, Inc. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1002/cplx.20392 | Clinical Orthopaedics and Related Research |
Keywords | DocType | Volume |
multiple-street intersection,rectangular grid,self-organizing traffic light,elementary cellular automaton,wiley periodicals,complex scenario,hexagonal grid,green-wave method,highway traffic qualitatively,traffic light,traffic-light controller,self organization,adaptation,elementary cellular automata | Journal | 17 |
Issue | ISSN | Citations |
4 | 1076-2787 | 22 |
PageRank | References | Authors |
2.13 | 9 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos Gershenson | 1 | 392 | 42.34 |
| David A. Rosenblueth | 2 | 122 | 21.97 |