Horst F. Wedde, Sebastian Lehnhoff, Sebastian Senge und Anca Manuela Lazarescu
Bee Inspired Bottom-Up Self-Organization in Vehicular Traffic Management
Proceedings of the 3rd IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO'09), IEEE Press, San Francisco, California, USA, 2009-09-14
Traffic in densely populated regions increasingly suffers from congestion problems, to an extent which e.g. substantially affects predictable transport planning. Due to the highly dynamic character of congestion forming and dissolving, no static approach like shortest path finding, applied globally or individually in car navigators, is adequate here. In this paper we outline our current work on a completely decentralized multi-agent bottom-up approach (termed BeeJamAJ) on multiple layers where car routing is handled through algorithms derived from honey bee behavior.