Fleet Sizing: Autonomous Cars Needed to Re-Image All Continental U.S. Roads in One Year
Company: Dropbox
Role: Product Manager
Category: Product / Decision Making
Difficulty: medium
Interview Round: Other
You are a product manager on Google Maps. The team wants to refresh Street View imagery across the entire continental United States using self-driving cars. How many cars would it take to re-map the whole area within one year?
```hint Two halves of one equation
Turn the job into total hours of driving, then work out how many useful hours one car can deliver in a year. Daylight and weather limit the second number more than the car does.
```
### Clarifying Questions
- Does re-mapping mean driving every public road once, including unpaved rural roads, or only roads that already have street-level imagery?
- Does capture need daylight and dry weather, or can some sensors keep working at night?
- Can the cars drive autonomously on every road type and in every region, or will some areas need a human driver?
- Can cars move between regions during the year, for example heading south while northern roads are under snow?
### What a Strong Answer Covers
- A precise definition of the job (which roads, how many passes) stated as explicit assumptions
- A fleet equation that converts road miles into driving hours and divides by productive hours per car
- A defensible estimate of U.S. road mileage and average capture speed, with a sanity check
- Realistic limits on each car's year: daylight, weather, charging, maintenance and a spare margin
- A range, plus the assumptions that move the answer most
### Follow-up Questions
- If the deadline shrank to six months, or only cities needed a yearly refresh while rural roads were refreshed every few years, how would the fleet change?
- How would you decide whether a full annual re-map is worth its cost in the first place?
- Which parts of the plan change if the cars cannot run autonomously on unpaved or mountain roads?
Overview: An estimation exercise for a mapping product manager: work out how many self-driving camera cars it would take to re-image every road in the continental United States within a single year. It tests building a fleet-sizing equation, estimating road mileage and capture speed, and accounting for daylight, weather and downtime.