Tagged: Ride sharing

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…

Uber mapping cars roll-out on the streets to fine tune your ride-sharing experience

Uber Mapping cars

Couple of months ago Uber acquired assets from Microsoft Bing Mapping team along with 100 employees for reasons unknown. That investment is now a clear picture as Uber is now mapping the streets in human piloted BMW 7 series cars to make its ridesharing service all the more fined tuned. Being very similar to the Google Street View cars with 3D spherical cameras on top, Uber aims to drastically improve the route information and accurate time of arrivals with this image-capturing tech. Also, the new tech will help in avoiding crowded intersections and streets that are crowded.
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