STUDY: CARPOOLING APPS COULD REDUCE TAXI TRAFFIC 75%

A new algorithm shows that 3,000 four-passenger cars could serve 98 percent of NYC taxi demand. This suggests that ride-sharing options from Uber and Lyft could play a big role in reducing congestion, and even helping with pollution and energy usage.
A new algorithm shows that 3,000 four-passenger cars could serve 98 percent of NYC taxi demand. This suggests that ride-sharing options from Uber and Lyft could play a big role in reducing congestion, and even helping with pollution and energy usage.
Bookmark and Share

 Traffic is not just a nuisance for drivers: it’s also a public-health hazard and bad news for the economy.

Transportation studies put the annual cost of congestion at $160 billion, which includes 7 billion hours of time lost to sitting in traffic and an extra 3 billion gallons of fuel burned. 

One way to improve traffic is through ride-sharing - and a new MIT study suggests that using carpooling options from companies like Uber and Lyft could reduce the number of taxis on the road 75 percent without significantly impacting travel time.

Led by Professor Daniela Rus of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), researchers developed an algorithm that found that 3,000 four-passenger cars could serve 98 percent of taxi demand in New York City, with an average wait-time of only 2.7 minutes.

 

Read the full story here: https://www.csail.mit.edu/ridesharing_reduces_traffic_300_percent