Qingsong Wu

CELLULAR AUTOMATON MODEL SIMULATING TRAFFIC FLOW AT AN UNCONTROLLED T-SHAPED INTERSECTION

Traffic flow at an uncontrolled T-shaped intersection is modelled by a cellular automaton model. A priority probability of the through car is introduced. The phase diagram of the system and the effect of the turning car on the whole traffic situation are investigated. Our simulation results suggest that priority should be given to either through cars or to turning cars according to the ratio of the turning cars in order to obtain the optimization of the system.

The Effects of Link and Node Capacity on Traffic Dynamics in Weighted Scale-Free Networks

The effect of link and node capacity on traffic dynamics are investigated in weighted scale-free networks by adopting a traffic routing model with local node strength information: (P_{l rightarrow i} = frac{S_{i}^{alpha}}{sum_j S_{j}^{alpha}}). The link bandwidth is controlled by: B ij = max (βw ij ,1), and the capacity of nodes is controlled by: max (γs i , 1). The phase transition from free flow to congestion is reproduced. The optimal routing strategy is sought out. When β increases from zero, the optimal strategy changes from preferring low-strength nodes to high-strength nodes. When β ≈ 1.0, there will be two optimal routing strategies. When β is low, the system’s behavior is controlled by link bandwidth, while it is controlled by node capacity when β is high. Our work may be useful for the design of modern traffic systems and communication networks.