The simulation result shows that the experience - based model is more efficient and fairness than the vehicle - actuated control and Pappis's model, and the algorithm's performance is further improved by the optimization - based model.
This paper proposes a forecasting method for traffic volume of bus line by applying the BP neural network, describes the structure of the BP neural network and its algorithm, analyses the forecasting method using the BP neural network.
In this paper we have analysed the phenomenon of Braess paradox, discussed the optimal flow model and algorithm on traffic system, and by discussing we can have a better understanding of the management of traffic system.
This paper gives an algorithm for computing invariant rings of reductive groups in arbitrary characteristic.
The algorithm presented here computes a geometric characteristic of this action in the case where G is connected and reductive, and $\rho$ is a morphism of algebraic groups: The algorithm takes as input the
We present an algorithm for computing the invariant field k(X)G.
More precisely, we give an algorithm for computing a nonempty open subset of X with a geometric quotient.
We show that the rate of convergence for this reconstruction algorithm is geometric and computable in advance.