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.

c. Select ALL of the possible paths below that could reasonably lead to a good solution.

a.) Estimate the fraction of cars that will be autonomous 10 years from now, and the number of cars that will be going from each part of the city to each other part during rush hour 10 years from now. Determine the maximum number of lanes that can be built based on budget estimates. Estimate the average commute time based on that number of lanes. If the average is above 20 minutes, plan to charge tolls for using certain congested roads during rush hour, and determine how to set those toll prices so that the average commute is below 20 minutes.

b.) Obtain expert estimates of the number of human-driven and autonomous cars going from each part of the city to each other part during rush hour 10 years from now. Estimate the resulting traffic on each road. Determine how many lanes are required on each road to reduce that traffic so the average commute time is below 20 minutes.

c.) Estimate future population and job locations in various parts of the city. Then, based on those estimates, estimate the number of cars going from each part of the city to each other part during rush hour. Estimate the fraction of cars that will be autonomous. Finally, determine how many lanes are required on each major street and highway to keep average commute time below 20 minutes