Running the uam-extension for Munich with the demand generated by the model MITO (msmobility/mito), with the UAMRoutingStrategy.PREDEFINED, which already chooses by itself access/egress stations and modes.
When I set up the number of MATSim iterations to 50 I found the following results (only UAM demand is simulated):
Average handling time by iteration (handling time includes a fixe pre-processing, boarding and post-processing plus a demand-dependent component):
![image](https://user-images.githubusercontent.com/19989489/64783607-88cd9400-d568-11e9-8126-78c34c5d03ef.png)
Scoring:
![image](https://user-images.githubusercontent.com/19989489/64783647-a00c8180-d568-11e9-87d7-2782cea14c93.png)
As seen, the plan scores get worse after every iteration. The routes get longer as well. The final iteration shows too high waiting times and too long routes. The question is what is MATSim replanning at each iteration.
Any explanation or quick answer to this? Do I simply need more iterations? And why not use the first iteration directly?
Attached the output config file as well.
mito_assignment.output_config.zip
Thanks!