Generalized Simulation Models of Vehicle Movements for Road and Railway Traffic Using Cellular Automata with Braking Reference Distance

Abstract

The common characteristic of automobile and train movements is autonomous, corporative and restrictive. This paper attempts to establish the generalized simulation models to describe the movements of road and railway vehicles under the modeling framework of cellular automata. The models distinguish the acceleration, deceleration and speed holding according to the speed limit and the difference between the estimation of the distance from the vehicle to its front target point and the braking reference distance. They describe various control strategies with adjustable acceleration and deceleration parameters. The tempo-spatial constraints such as space and speed ones are converted into the limitations caused by real or dummy cell states on the state transition of cells within a time step. The proposed models can reproduce the realistic phenomena such as stop-and-go wave and human-machine collaborative feedback adjustment.