EwoutH / urban-self-driving-effects

Investigating the effects of self-driving cars on cities
GNU General Public License v3.0
0 stars 0 forks source link

Data to gather #4

Open EwoutH opened 2 months ago

EwoutH commented 2 months ago

A short list of data to gather to answers research questions.

Global

Per hour

Per hour, per area

Per Agent

https://github.com/toruseo/UXsim/issues/120 would help a lot with per-hour data gathering.

EwoutH commented 2 months ago

Mode choice distribution per area is a bit difficult, because you have OD-pair. You could do origin or destination, but for now just collect it by hour.

EwoutH commented 2 months ago

Was an especially though nut to crack, but we do now have Traffic volume and Average delay per hour, per area.

Vehicles parked should be easy (or at least easier) now that we have (3d7f1a7c0c5d906292ebc64cb3f3e295a60f2339). That's the last big one, and then we can run a base case and start experiments.

Those together should deliver some beautiful spatial choropleth animations.

CC @quaquel

EwoutH commented 2 months ago

Parked cars are tracked continuously, simple implementation as expected: 813e59864635661b814889676d251a27bd3b27ef. Can be sampled as often as required.

One thing is that our OD data is the aggregate of a day, and doesn't make a distinction between rush hours in different directions. So that does limit the usefulness of this a little.

It could still emerge somewhat from population data though. If at one district very much people live, and at another many work, they will make their first trip to that direction. But it won't be the full effect.