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by perl4ever
2878 days ago
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Utilization rate means percentage of time that is billed to a customer, I believe/presume. Whether a car is moving is not the same thing. The issue is whether it is on the clock or not, and given that computers already are used to match passengers and route cars, I'm not clear on why we would expect a drastic increase. Currently, we see 50-60%. Even a perfect routing algorithm can't make it 100%, because there are only so many customers, so things like how many cars there are per customer matter. If you reduce the cars per customer, service suffers. If you increase the number, utilization falls. |
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It depends on what the denominator is.
If it's only the time between when a driver/auto-car "accepts" the ride and the end of the ride, there's little reason [1] to expect a drastic increase.
However, if the denominator is the total time the driver is "on duty", which is, I believe, what is generally used to calculate rideshare drivers' effective hourly compensation, then my original point stands. That is, an auto-car can be "on duty" even while just sitting in storage.
The current algorithm also doesn't tell rideshare drivers where to be while on duty, only routing them once a ride is requested. In the auto-car scenario, the computer has complete control, so a predictive algorithm could increase utilization, even if the denominator is time-in-motion.
Whether any increase would be drastic is debatable, but there's opportunity for something.
[1] Currently, the computer routing algorithm has an incentive to optimize for time at the expense of distance (since it's the driver who bears the expense of the unbilled distance, AFAIK). In the case of an auto-car, that perverse incentive would be absent, but I don't expect the difference to be huge.