I ride rental scooters almost 10k minutes per year and would really like to get my hands on my own ride data to plug it into something like this (or simpler) to find the optimal routes for my regular trips.
Google Maps (or others) works good to find a resonable route, but I can do better on my own. One-way streets where bikes are allowed to go do opposite way is sometimes missing, short desire paths connecting bike ways, crossings where it's safe to do an (illegal) right-on-red etc.
Tried a GDPR data claim from Voi but got nothing back :( But I hope the data is somehow available for urban planners, think it would be a great source of truth to use in tools like this.
Unfortunately it is not that easy to simulate traffic, especially not on city scale or larger.
The most important input to a traffic simulator such as this is the so-called "traffic demand", i.e. the routes that vehicles follow. Typically this is provided in the form of origin-destination matrices, but this data is not freely available.
Next up is the way in which traffic lights work. Reality is very hard to model here, again because the data is not freely available.
And then, due to numerous modeling errors in vehicle density, in the way that roads differ from e.g. OpenStreetMap, and how traffic behaves, the simulations are highly unrealistic, unless one spends some time to calibrate it.
It costs quite a lot of money to set up a realistic simulation, and most governments use commercial tooling that is easier to use, such as Vissim or Aimsun.