Minimizing Vehicular Travel Times Using the Multi-Agent System BeeJamA

摘要

We present and evaluate our self-adaptive and distributed vehicle route guidance approach, termed BeeJamA, which provides drivers safely with routing directions well before each intersection. Our approach is based on a multi-agent system which is inspired by the honey bee behavior and relies on a decentralized vehicle-to-infrastructure architecture. On the basis of microscopic traffic simulations under varying penetration rates it shows that BeeJamA has the tendency to outperform dynamic shortest path algorithms with respect to (global) travel times.