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Towards hybrid simulation of self-organizing and distributed vehicle routing in large traffic systems.

, , , and . BMEI, page 2313-2321. IEEE, (2011)

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Minimizing Vehicular Travel Times Using the Multi-Agent System BeeJamA., and . PROFES, volume 7343 of Lecture Notes in Computer Science, page 335-349. Springer, (2012)Bee Inspired Bottom-Up Self-Organization in Vehicular Traffic Management., , , and . SASO, page 278-279. IEEE Computer Society, (2009)Towards hybrid simulation of self-organizing and distributed vehicle routing in large traffic systems., , , and . BMEI, page 2313-2321. IEEE, (2011)2-Way evaluation of the distributed BeeJamA vehicle routing approach., and . Intelligent Vehicles Symposium, page 205-210. IEEE, (2012)Bee-Inpired Road Traffic Control as an Example of Swarm Intelligence in Cyber-Physical Systems., and . EUROMICRO-SEAA, page 258-265. IEEE Computer Society, (2012)Highly Dynamic and Adaptive Traffic Congestion Avoidance in Real-Time Inspired by Honey Bee Behavior., , , , , , , , , and 5 other author(s). PEARL, page 21-31. Springer, (2007)A novel class of multi-agent algorithms for highly dynamic transport planning inspired by honey bee behavior., , , , , , , , , and 5 other author(s). ETFA, page 1157-1164. IEEE, (2007)BeeJamA: A Distributed, Self-Adaptive Vehicle Routing Guidance Approach., and . IEEE Trans. Intelligent Transportation Systems, 14 (4): 1882-1895 (2013)Bienen-inspiriertes Straßenverkehrsrouting., , and . Echtzeit, page 57-66. Springer, (2009)Ein Bienen-inspiriertes Schwarmintelligenz-Verfahren zum Routing im Straßenverkehr.. Carl von Ossietzky University of Oldenburg, (2014)