Two-Lane Traffic Flow Simulation Model via Cellular Automaton

摘要: Road traffic microsimulations based on the individual motion of all involved vehicles are now recognized as an important tool to describe, understand, and manage road traffic. Cellular automata (CA) very efficient way implement vehicle motion. CA is a methodology that uses discrete space represent state each element domain, this can be changed according transition rule. The well-known cellular automaton Nasch model with modified cell size variable acceleration rate extended two-lane for flow. A set rules applied provide lane-changing maneuvers. S-t-s rule given in BJH which describes behavior jammed implemented present effect variability flow studied. Flow between single-lane where change lane order avoid collision also compared under influence s-t-s braking Using results numerical simulations, we analyzed fundamental diagram show probability has more than maneuver.