Cellular Automata Saturation Flow Considering Inherit Model Properties
The current study investigates the way in which the saturation flow of a traffic lane is dependent on specific model properties of widely used cellular automata models. In particular, following a literature search specific cellular automata models that have been developed to simulate traffic are selected for this study. The values of the saturation flow as these are produced via model simulations with the modification of appropriate relevant model parameters including maximum desired speed and probability are defined through specific statistical values. The most significant parameters and their respective values considering saturation flow as well as the pattern of this dependency are determined.
Keywords: Saturation flow, capacity, probability, maximum speed, time headway, TOCA, NaSch, microsimulation.