The Robust and reliable traffic information detection from images acquired by traffic surveillance system is an important problem with numerous applications including adaptive traffic signal control system and traffic analysis system. This paper describes an application of computer vision techniques to traffic surveillance. The objective in this paper is to improve the efficiency of traffic flo...

Grid traffic characteristics are quite different from that of normal Internet traffic, as they impose more stringent constraints (such as packet delay and flow deadlines) on network resources. This paper explores differentiated channel provisioning in grid network, in order to schedule bulk data traffic. We propose a solution based on the two-phase routing scheme to provision the virtual channe...

A general stochastic traffic cellular automaton (CA) model, which includes slow-to-start effect and driver’s perspective, is proposed in this paper. It is shown that this model includes well known traffic CA models such as NagelSchreckenberg model, Quick-Start model, and Slow-to-Start model as specific cases. Fundamental diagrams of this new model clearly show metastable states around the criti...

We apply game theory to a vehicular traffic model to study the effect of driver strategies on traffic flow. The resulting model inherits the realistic dynamics achieved by a two-lane traffic model and aims to incorporate phenomena caused by driver-driver interactions. To achieve this goal, a game-theoretic description of driver interaction was developed. This game-theoretic formalization allows...

In most models of traffic flow, the car density p is the only free parameter in determining the average car velocity 〈v〉. The critical car density pc, which is defined to be the car density separating the jamming phase (with 〈v〉 = 0) and the moving phase (with 〈v〉 > 0), is an important physical quantity to investigate. By means of simple statistical argument, we show that pc < 1 for the Biham-M...

In this paper, the lattice vehicular model, which is in the form the lattice Boltzmann equation is directly derived from the Boltzmann equation. It is shown that the lattice Boltzmann equation is a special discretized form of the Boltzmann equation. A 3-bit approximation, which describe uncongested traffic flow, for the discretization of the Boltzmann equation in both time and phase space is di...

A one-dimensional cellular automaton traffic flow model, which considers the deceleration in advance, is addressed in this paper. The model reflects the situation in the real traffic that drivers usually adjust the current velocity by forecasting its velocities in a short time of future, in order to avoid the sharp deceleration. The fundamental diagram obtained by simulation shows the ability o...