Multilane single GCA-w based expressway traffic model

Authors:
Anna T. Lawniczak;Bruno Di Stefano
Affiliations:
Department of Mathematics and Statistics, University of Guelph, Ontario, Canada and The Fields Institute for Research in Mathematical Sciences, Toronto, Ontario, Canada;The Fields Institute for Research in Mathematical Sciences, Toronto, Ontario, Canada and Nuptek Systems Ltd., Toronto, Ontario, Canada
Venue:
ACRI'10 Proceedings of the 9th international conference on Cellular automata for research and industry
Year:
2010

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Abstract

We show how, by applying relaxation and extension of Elementary Cellular Automata Rule 184, we can model realistic highway traffic. In particular, we examine some of the available options for modeling variable acceleration, variable speed, multi-lane traffic, lane-changing for the purpose of avoiding obstacles or overtaking slower vehicles, suddenly stalled vehicles, and drivers' ability to account for the "brake lights" information and react to it. We describe the main features of our multilane expressway model developed adopting such extensions of Cellular Automata as "Global Cellular Automata" and "Global Cellular Automata with Write access".