Hello,
I am trying to run a simulation using detector data collected from a major highway. I have tried two methods but have not gotten the results that I wanted. I would like simulations that match the measured data closely but still have some variation. My measured data is a typical afternoon and I want to use my measured data as a baseline. So I want my simulations to be similar to the measured data, but not match it the same way each time.
First I used DFRouter to create emitter and route files and used them as the input to sumo. These results came very close to the measured data. However, when I ran the simulation hundreds of times the validation files showed that they did not vary much between runs, if at all. This problem persisted even when I used --random and --randomize-flows.
So I tried using routeSampler.py instead. This time, I created edgedata files from my measured data and generated a route file using routeSampler.py. However, the validation file showed that the measured data did not match the simulated data at all. For example, the flow rate was over 1k vehicles per hour smaller in the simulation than the measured data. Because of this, I did not run the simulation hundreds of times. But I did run it twice and saw more variation than I did with DFRouter, which is good.
Is there any way I can get the accuracy of DFRouter but the variation of routeSampler (or better)?
Thank you,
Alex
