I've seen the number of induction coils increase drastically over the years in The Netherlands. They are quite easily recognizable, as there's typically a solar panel on a pole, that appears to provide power to the system.
Considering there's a wide variety of vehicles on the road, surely each variant must have (slightly) different characteristics when passing over the coil; especially when in a specific place at a specific time.
And given that they are situated at highway exits (see picture) or after entrances, and road users unable to exit and enter elsewhere, it would be trivial to track the bulk of a vehicle's trip.
This in context of ALPRs (in different forms) being in place at strategical locations (large junctions or at bridges or tunnels, and parking), and the address of vehicle's owner; you'd be able to connect the dots, and end up with a pretty complete picture.
not very well though, while the raw data can vary car to car, they only use a simple vehicle detection count, and they could technically distinguish between large trucks, trailers, busses and family cars, but not very well and it would be based on signal duration so the traffic flow speed would have to be known too. A small electric car might have a similar signature to a large diesel truck just based on the inductive mass, and a hatchback could have the same signal duration as a bus if it's in traffic.
There's no useful data there for deeper analysis or correlation other than "hmm, road use is up in this area, increase road maintenance there in the next budget" or, "hmm, that intersection upgrade downstream has caused more traffic than predicted upstream", or "hmm, the timing on these fixed intersection lights need to be re-assessed or upgraded to automatic lights"