Why a Greedy Dispatch Algorithm Fails (Closest Driver Problem) The first instinct when designing a matching system is to pair every customer with their nearest driver. Every time you tap "Book Ride," a system makes dozens of decisions in under two seconds:
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Every time you tap "Book Ride," a system makes dozens of decisions in under two seconds:
Why a Greedy Dispatch Algorithm Fails (Closest Driver Problem) The first instinct when designing a matching system is to pair every customer with their nearest driver.
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Every time you tap "Book Ride," a system makes dozens of decisions in under two seconds: Why a Greedy Dispatch Algorithm Fails (Closest Driver Problem) The first instinct when designing a matching system is to pair every customer with their nearest driver. Uber refers to this problem as Global Optimization â€" finding an assignment strategy that minimizes the total ETA of the entire system, rather than optimizing just for individual pairs.
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