Traffic Flow Simulation with Dynamic Path Optimization

This program simulates the process of logistics selecting routes and moving within a transportation network. The simulation mechanism ensures that when logistics move between nodes carrying materials, the system prioritizes shortest-path routing while dynamically recalculating alternative paths when necessary to maintain transportation efficiency. During route selection, the primary algorithm first computes the shortest path between origin and destination nodes. If all nodes along the shortest path are operational (i.e., their available capacity ≥ pending material volume), the system proceeds with transportation along this route. The implementation identifies the adjacent node on the current shortest path as the next target point. For example, if the shortest path from node 1 is 1-2-3-4-5-6 and all nodes are functional, the next target node would be node 2. However, if the computed shortest path (e.g., 1-2-3-4-5-6) contains a congested node (where node capacity < pending material volume, such as at node 3), the path becomes impassable at that point. The algorithm then triggers a route recalculation subroutine to identify a new viable path. This dynamic rerouting mechanism ensures materials are transported efficiently despite network constraints. The program's architecture requires multiple iterative calls to the path-finding function, maintaining continuous optimization of logistics flow and maximizing transportation efficiency throughout the simulation runtime. The core algorithm typically employs Dijkstra's or A* pathfinding with capacity validation checks at each node traversal.