Traffic congestion forecasting based on pheromone communication model for intelligent transport systems
Satoshi Kurihara, Hiroshi Tamaki, Masayuki Numao, Junji Yano, Keiichiro Kagawa, Tetsuo Morita · 2009
The basic framework of next generation intelligent transport systems (ITSs) is discussed. We propose a new congestion forecast system, which reacts to dynamically changing traffic conditions based on a coordination mechanism using pheromone communication models. We evaluate and verify the basic effectiveness of this method using simple simulations.