Analysis of Single-Lane and Two-Lane Traffic Models by Using Cellular Automata

The purpose of this paper is to extend the existing Cellular Automata (CA) models and to use the extended CA models to describe the influence of a car accident in single-lane and two-lane traffic flow. To evaluate dynamic traffic flow, we developed a traffic flow simulator that uses CA model. It is shown that the singlelane dynamics can be extended to the two-lane case without changing the basic properties of the model. The two-lane model considered here shows quantitative improvements over the single-lane model. We also add the lane changing rules to simulate the reality traffic condition. The spacetime diagrams for single and two-lane models are considered to conclude that congestion appear to move faster through traffic as the maximum velocity increases and congestion formation in single-lane is much distinct than in two-lane. Using simulation results it has been shown that after the accident the speed of the downstream traffic tends to zero which results in serious congestion and once the accident ends the traffic flow begins to start again.