Abstract
The development of autonomous vehicles has the potential to considerably improve traffic management on urban zones. The coordination of autonomous vehicles at intersections is a trending problem. In this area of research, several approaches have been proposed using centralized solutions. However, centralized systems for traffic coordination have a limited fault-tolerance and can only be optimal if these systems never fail. This paper proposes a distributed coordination management system for intersections of autonomous vehicles through the employment of some established rules to be followed by vehicles. To validate our proposal, we show experiments to compare our approach with centralized approaches. Simulations have been made using a cellular automaton traffic model with different traffic densities.
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Notes
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The LAIE’s model is an extension of the LAI model, which introduces conflict ways but maintaining the same dynamic model.
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Gonzalez, C.L., Zapotecatl, J.L., Alberola, J.M., Julian, V., Gershenson, C. (2019). Distributed Management of Traffic Intersections. In: Novais, P., et al. Ambient Intelligence – Software and Applications –, 9th International Symposium on Ambient Intelligence. ISAmI2018 2018. Advances in Intelligent Systems and Computing, vol 806. Springer, Cham. https://doi.org/10.1007/978-3-030-01746-0_7
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