Dear sumo-user,
is there a possibility using numpy-array instead of for-queue's for traci
commands? I tried it, but failed.
For example, I want to update every edge with the current travel-time with a
for-queue:
def edge_traveltime_adaption(edges_all):
for edges in edges_all:
edge_time = traci.edge.getTraveltime(edges)
traci.edge.adaptTraveltime(edges, edge_time)
Because it needs a lot of computation time, I want to do it with numpy:
def edge_traveltime_adaption_numpy(edges_all):
edges = np.array(edges_all)
edge_time = traci.edge.getTraveltime(edges)
traci.edge.adaptTaveltime(edges, edge_time)
But it doesn't work like this. Could you help?
Best regards, Pascal
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