sindre

Yep, in our thesis we have tried with throughputs from 2000 to about 15000, and with different types of load. We assume that all vehicles are automatic, so no human speed control.

The ideas still applies in two dimensions, we just have one fewer dimension. (Actually, looking at Particle Swarm Optimization, ideas from flocking is used from 1 dimension, to many more than 3).

Yes, this is for self-driving cars.

I think you under-estimate the numbers of cars on the road.

I don't remember the exact throughput used for the video, but I think it was around 5500. On a equivalent road the minimum distance between two cars is about 2 seconds. That gives a throughput of 1800 cars per road per lane (3600/2). For two lanes (resembling the one used in the video) this would give a absolute maximum throughput of 3600 roads per hour.

Which means that our system, with about 5000 cars per hour, give a much higher throughput than the maximal on a standard highway.

All the details is in the thesis (link in the url, or https://highwayflocking.github.io/Flocking_for_Road_Traffic_...).

I have uploaded the thesis to https://highwayflocking.github.io/

One of the original authors here. In our thesis we actually have cited a paper that used an analysis of the traffic from India for something resembeling what we have done.