Tagged: Carpooling Algorithm

MIT researchers develop advanced, self-learning algorithm to revolutionize carpooling

NYC Carpooling algorithm

After Uber and Lyft explored the potential of carpooling using mobile data, researchers have also started to prepare themselves technically to adapt to this trend. Carpooling, if used efficiently with the help of huge amount of data extracted from millions of taxi rides and maps of road network, can reduce the traffic congestion, save fuel and time, and reduce vehicular pollution along with road accidents in the New York city, claims the researchers at the MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL). Read More…