I'm trying to move an object along a path with constant velocity. I have a set of nodes using networkx, and have gotten the shortest path between these nodes. The shortest path is not smooth or dependent on time. I want to interpolate or move through the path so that the object moves through the path with a dt = 1/3600 and constant velocity, updating the position along the path. I have some example/pseudo code:
def func(self):
distance = 0
for i in range(len(nodes)-1):
shortest_path = nx.shortest_path(G_full, source=nodes[i], target=nodes[i+1], weight='weight')
node_dist = 0
for j in range(len(shortest_path)-1):
node_dist += geodesic(shortest_path[j], shortest_path[j+1]).kilometers
distance += geodesic(shortest_path[j], shortest_path[j+1]).kilometers
return node_dist, distance
This gives me the shortest path between a list of nodes, for example the nodes: [(47.6835508, 6.4912519), (47.9078655, 6.3314071), (48.0126858, 6.6045816)]
I've tried iterating over the shortest path for each node, but get stuck on how I should set up the path updating.
To achieve smooth interpolation and move an object along the path with a constant velocity, you can use linear interpolation between consecutive nodes. You'll need to calculate the total distance of the path and then determine the intermediate positions based on the desired time step (
dt) and constant velocity.Here's an example/pseudo code to help you achieve this:
from geopy.distance import geodesic
class PathInterpolator: def init(self, nodes, G_full): self.nodes = nodes self.G_full = G_full self.distance, self.total_distance = self.calculate_distances()
Example usage:
nodes = [(47.6835508, 6.4912519), (47.9078655, 6.3314071), (48.0126858, 6.6045816)] G_full = your_networkx_graph # Replace with your actual graph
path_interpolator = PathInterpolator(nodes, G_full) path_interpolator.interpolate_path()