Comment by fifticon

(source, 20+ years experience working in traffic planning software industry). Such data do exist. But they won't avail you (much). You have similar problems as when you optimise the energy sector, or economy in general. The "actual" problem you will be optimising on/for, has a lot of conflicting needs and interests, and choosing your trade-offs resemble the 'trolley problem'. I will just enumerate a random list of things that affect and collide with your optimisation. - your vehicles and vehicle fleets (and road networks, with congestion) provide one part of the problem. - your vehicle drivers etc., have other needs and union rules; they need to sleep, have breaks, go to the bathroom, eat; swap places on the road, they need to arrive and get home. - once you are on the road 'you might as well continue driving': There is a huge startup cost each time you pull into traffic. - you have two peak hours (morning, evening); what should your drivers and buses do in the lull in the middle of the day? (spoiler: they reasonably hate sitting idle for 3 hours, with or without pay). - lots of politics related to how it is funded and votes, who is paid for operating it. These are the shameful parents for things like frankenstein bus-routes, where 2-3 cancelled budget-cut bus-routes are merged into a single meandering remaining bus-route that makes all its passengers miserable.

- a lot of it is probablility-based/spontaneous; only some traffic patterns are regular (children to school); to service the probability-need, you need a regular service that may run empty/low half of the time, until people need a hair-cut.

The whole thing is handled on a sliding-scale/spectrum, ordered by how short/far into the future, the travel is/can be planned. On one end, you have taxi/uber, which is on-the-spot travel. The other end is planned year-service, e.g. a summer schedule of a bus. In between, with computers we have a lot of "urgent-but-planned" flexi-flexible traffic, where people book on the day or the week, and a number of bookings are then weaved to be driven like a pearl string (so e.g. a number of people will share a ride in a medium sized bus, that does pre-planned pseudo-taxi-service.)