The present paper deals with the numerical solution of the third-order nonlinear KdV equation using the elementfree Galerkin (EFG) method which is based on the moving least-squares approximation.A variational method is used to obtain discrete equations,and the essential boundary conditions are enforced by the penalty method.Compared with numerical methods based on mesh,the EFG method for KdV equations needs only scattered nodes instead of meshing the domain of the problem.It does not require any element connectivity and does not suffer much degradation in accuracy when nodal arrangements are very irregular.The effectiveness of the EFG method for the KdV equation is investigated by two numerical examples in this paper.
Based on the pioneer work of Konishi et al, a new control method is presented to suppress the traffic congestion in the coupled map (CM) car-following model under an open boundary. A control signal concluding the velocity differences of the two vehicles in front is put forward. The condition under which the traffic jam can be contained is analyzed. The results are compared with that presented by Konishi et al [Phys. Rev. 1999 E 60 4000-4007]. The simulation results show that the temporal behavior obtained by our method is better than that by the Konishi's et al. method, although both the methods could suppress the traffic jam. The simulation results are consistent with the theoretical analysis.
Traffic congestion is related to various density waves, which might be described by the nonlinear wave equations, such as the Burgers, Korteweg-de-Vries (KdV) and modified Korteweg-de-Vries (mKdV) equations. In this paper, the mKdV equations of four different versions of lattice hydrodynamic models, which describe the kink-antikink soliton waves are derived by nonlinear analysis. Furthermore, the general solution is given, which is applied to solving a new model-the lattice hydrodynamic model with bidirectional pedestrian flow. The result shows that this general solution is consistent with that given by previous work.
