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A platform for research: civil engineering, architecture and urbanism
A Lattice Hydrodynamic Model for Four-Way Pedestrian Traffic with Turning Capacity
In this paper, a lattice hydrodynamic model of four-way pedestrian traffic considering turning capacity is proposed. The stability conditions are obtained by stability analysis. The mKdV equation is derived using the reductive perturbation method of nonlinear analysis, and the corresponding density wave solutions are obtained. The results of theoretical analysis are verified by detailed numerical simulation of the spatial-temporal patterns of the density of pedestrian flow evolution under different initial conditions and the density profile at different moments. The results show that the balanced distribution of pedestrian flow along the horizontal and vertical passages can promote the stability of pedestrian traffic, and pedestrians turning at the intersections can stimulate traffic jams.
A Lattice Hydrodynamic Model for Four-Way Pedestrian Traffic with Turning Capacity
In this paper, a lattice hydrodynamic model of four-way pedestrian traffic considering turning capacity is proposed. The stability conditions are obtained by stability analysis. The mKdV equation is derived using the reductive perturbation method of nonlinear analysis, and the corresponding density wave solutions are obtained. The results of theoretical analysis are verified by detailed numerical simulation of the spatial-temporal patterns of the density of pedestrian flow evolution under different initial conditions and the density profile at different moments. The results show that the balanced distribution of pedestrian flow along the horizontal and vertical passages can promote the stability of pedestrian traffic, and pedestrians turning at the intersections can stimulate traffic jams.
A Lattice Hydrodynamic Model for Four-Way Pedestrian Traffic with Turning Capacity
Yuan Tang (author) / Yu Xue (author) / Muyang Huang (author) / Qiyun Wen (author) / Bingling Cen (author) / Dong Chen (author)
2023
Article (Journal)
Electronic Resource
Unknown
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