Bee Inspired Bottom-Up Self-Organization in Vehicular Traffic Management

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.