Swarm Intelligence Applied to Traffic Lights Group Formation

• Denise de Oliveira UFRGS
• Ana L. C. Bazzan UFRGS

Resumo

Several traffic control approaches address the problem of reducing traffic jams. A class of these approaches deals with coordination of traffic lights to allow vehicles traveling in a given direction to pass an arterial without stopping. This paper presents an approach where each traffic light behaves like a social insect, having coordinated signals plan as tasks to be performed. The model uses a restricted communication mechanism and coordinated groups are formed in a dynamic way.

Referências

Bonabeau, E., Theraulaz, G., and Dorigo, M. (1999). Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, New York, USA.

Gordon, D. (2000). Ants at Work: How an Insect Society is Organized. W.W. Norton & Company.

Hunt, P. B., Robertson, D. I., Bretherton, R. D., and Winton, R. I. (1981). SCOOT a traffic responsive method of coordinating signals. TRRL Lab. Report 1014, Transport and Road Research Laboratory, Berkshire.

Lowrie, P. (1982). The sydney coordinate adaptive traffic system – principles, methodology, algorithms. In Proceedings of the International Conference on Road Traffic Signalling, Sydney, Australia.

Oliveira, D., Bazzan, A., Jr., P. R. F., and Silva, B. C. (2005). Coordenação dinâmica de semáforos: dois casos de estudo. In V Encontro Nacional de Inteligêncnia Artificial (ENIA05).

Papageorgiou, M., Diakaki, C., Dinopoulou, V., Kotsialos, A., and Wang, Y. (2003). Review of road traffic control strategies. Proceedings of the IEEE, 91(12):2043–2067.

Robison, G. E. (1992). Regulation of division of labor in insect societies. Annual Review of Entomology, 37:637–665.

TRANSYT-7F (1988). TRANSYT-7F User’s Manual. Transportation Research Center, University of Florida.