Fleets of self-driving taxis could be choreographed to cut traffic

Article contributed by Friends of San Antonio Family Association 

Finally, some real truth and science that confirms the future is in self driving vehicles and not in the early ineffective novelty expensive street car rail systems that the City of San Antonio has been trying for years to cram down our throats.

Self driving taxis that use an algorithm to work together like a well-oiled machine could someday cut down on city traffic.

Researchers have created a computer program that can continually analyze incoming ride-hailing requests sent from a smartphone app and plot the most efficient course for each car in a self-driving fleet to take (SN Online: 11/21/17). Unlike standard taxis, which pick up customers spotted on the side of the road, this algorithm assigns cars to customers based on traffic conditions as well as the pickup and drop-off locations of all ride requests.

Moe Vazifeh, a physicist at MIT, and colleagues tested this algorithm by feeding it information on more than 150 million cab rides taken in New York City in 2011. The program, described online May 23 in Nature, was able to choreograph routes to pick up more than 90 percent of customers within five minutes of their ride requests.

Sounds like Uber and the free enterprise system of a capitalist society beat New York City to the punch.

Government is not, nor will ever be the solution.

To read more from Science News, click here.

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