Meta-heuristic-based solutions for vehicle flow management in railway traffic networks
The design of railway transportation network plays a key role in the process of railway transportation planning,but the vehicle flow management of railway transportation network has received great attention in railway transportation.Therefore,a heuristic multi-layer railway transportation network co evolution model is proposed,where the lower and upper layers of the network are related to growth and mutually stimulate each other.Firstly,the structures of high-speed railway and ordinary railway networks were simulated using relative adjacency diagrams and Gabriel diagrams,respectively.The research results indicate that when a specific number of nodes are added,the vehicle traffic between the expanded network and the initial lower level network has the lowest value.along with Θ The increase in,Ψ Increasing from approximately 2.5 to 3.4 further alleviates traffic flow management issues in railway transportation networks.The research results can provide reference for the analysis of railway transportation network topology characteristics and vehicle flow management.
万方数据
维普
