A large city is trying to plan its road construction so that its roads are appropriately-sized for when cars are all self-driving (autonomous). Research has suggested that adding autonomous vehicles to the current system could significantly reduce traffic by reducing the variance in speed of both the autonomous and human driving vehicles. The city would like to use analytics to help determine how many lanes its highways and major streets will need to have in the future.

It has been predicted that if all cars are autonomous, they'll get along much better on the road(unlike humans, who sometimes cut in front of each other to get ahead, causing slowdowns behind them) and commute times will be reduced.

Personally, I don't entirely agree; rather than having a whole set of nice, friendly autonomous cars, I can easily envision competing software companies that try to take advantage of the "nice, friendly" attributes of other companies' software. ["Buy our more-aggressive vehicle-driving software; it cuts in front of competitor driven cars 86% of the time, thereby reducing your commute times by over 25%!"]

Select all of the following models/approaches that could be used to analyze some aspect of this possibility.

a.)McNemar's test on simulated drive times, after simulating each drive twice -- once with the "nice" software and once with the aggressive software

b.)Simulation, to determine the effect of adding more aggressive cars to the system

c.)Game-theoretic analysis, to model competitor behavior in the marketplace