We have, however become dependent on our personal little petrol guzzlers; the sight of one person per car doing the daily commute is now a norm.
In contrast, the new system allows requests to be rematched to different vehicles.
It can also analyze a range of different types of vehicles to determine, say, where or when a 10-person van would be of the greatest benefit.
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 vehicles on the road by a factor of three without significantly impacting travel time.
Led by Professor Daniela Rus, director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), researchers developed an algorithm that found 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.