マルチエージェントフロー環状交差確率交通流モデルと合流部信号制御

抄録

In this study, the Poisson arrival probability is simulated in a small- to medium-scale circular intersection MFG traffic flow model, which is a multi-agent model in which the destination type of agents is represented by gray-toned markings. Using the percolation congestion model, the effects of entrance passage, initial presence, and exit passage probabilities, as well as the sensitivity of their aligned merge signal control parameters on congestion rates and deadlock times, were investigated, as well as deadlock avoidance. In the medium-scale model, deadlocks do not occur for a long period of time. There are signal parameters that are suitable for deadlock suppression.