Taxis By Algorithm: Streamlining City Transport With Graph Theory 72
New submitter Mark Buchanan (3595113) writes with a story about research from scientists at MIT, Cornell and elsewhere showing "that big city taxi systems could be made 40% more efficient with device-enabled taxi sharing. We could cut miles driven, costs, and pollution with the right application of just data and algorithms, and do it while introducing no more than a 5 minute delay to any person's trip. " Letting such algorithms compete seems an excellent reason to encourage, rather than reject by law, ride-coordination services like Uber and Lyft.
Re:Taxi licensing laws aren't about good service. (Score:2, Interesting)
yes and no.
Your claim is likely partially true. However, another reason for licensing laws is to reduce the amount of traffic on the road. More taxis on the road can mean more traffic congestion http://blogs.reuters.com/great-debate/2012/01/20/more-taxis-mean-more-traffic/.
"Dolmush" (Score:5, Interesting)
Problem is in New York... (Score:5, Interesting)
Long story short, a system that requires you provide both the pickup AND arrival points will require some serious clampdowns to keep uptowners and outer-borough folk from being left out in the cold.
.
Maximising the wrong thing? (Score:5, Interesting)
As far as cabbies are concerned, the optimum algorithm will be whatever maximises their revenue. Any algorithm that doesn't will probably be vulnerable to cheating, i.e. a rogue cabbie that can make more money exploiting some aspect of the algorithm will do so.