A Two-Lane Cellular Automata Model with Influence ofNext-Nearest Neighbor Vehicle

Abstract

In this paper, we propose a new two-lane cellular automata modelin which the influence of the next-nearest neighbor vehicle is considered.The attributes of the traffic system composed of fast-lane andslow-lane are investigated by the new traffic model. The simulationresults show that the proposed two-lane traffic model can reproducesome traffic phenomena observed in real traffic, and that maximumflux and critical density are close to the field measurements.Moreover, the initial density distribution of the fast-lane andslow-lane has much influence on the traffic flow states. Withthe ratio between the densities of slow lane and fast laneincreasing thelane changing frequency increases, but maximum flux decreases.Finally, the influence of the sensitivity coefficients is discussed.