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US-bound Audi A3 Sedan spied testing

As the Audi A3 sedan gets closer to its debut, Audi has camouflaged prototypes to take it on the streets for final testing. Last time we saw the A3, it was testing almost in the buff, but it was on a closed track so our spy shooters were kept at quite a distance.
Now that the newest Audi sedan is testing on public roads, our latest batch of spy shots gives us a more detailed look at the entry-level luxury player despite the swirly camo. Except for the oversized wheels and the fancy exhaust outlets and door mirrors, the production version of the car should look almost identical to the A3 sedan concept we saw in Geneva a couple years ago. Some of the details we can see include a good-sized panoramic roof that stretches almost halfway into the rear passenger space and signature Audi LED-accented headlights and taillights.

Stanford goes from Pikes Peak to Thunderhill with autonomous Audi TTS

In the years since Stanford University engineers successfully programmed an Audi TTS to autonomously ascend Pikes Peak, the technology behind driverless cars has progressed leaps and bounds. Back then the Audi needed 27 minutes to make it up the 12.42-mile course – about 10 minutes slower than a human driver. These days, further improvements allow the vehicle to lap a track faster than a human. The researchers recently took their autonomous TTS named Shelley to the undulating Thunderhill Raceway Park, and let it go on track without anyone inside. The Audi reportedly hit over 120 miles per hour, and according to The Telegraph, the circuit's CEO, who's also an amateur racing driver, took some laps as well and was 0.4 seconds slower than the computer. To make these massive technological advancements, the Stanford engineers have been studying how racers handle a car. They also hooked up drivers' brains to electrodes and found the mind wasn't doing as much cognitively as expected. It instead operated largely on muscle memory. "So by looking at race car drivers we are actually looking at the same mathematical problem that we use for safety on the highways. We've got the point of being fairly comparable to an expert driver in terms of our ability to drive around the track," Professor Chris Gerdes, director of Stanford's Revs Program, said to The Telegraph. With progress coming so rapidly, it seems possible for autonomous racecars to best even elite drivers at some point in the near future. Related Video:

Audi, MIT, GE start cab ridesharing study in New York City

Audi, Massachusetts Institute of Technology's (MIT) and General Electric are getting together to study something that won't likely be thrilling for New York City cab drivers. But there are bigger fish to fry and keeping cabbies happy. The German automaker is working with MIT's Senseable City Lab and GE on a study designed to get a better handle on how ridesharing in the city's cabs could work and how such a practice could cut both emissions and traffic in the largest US city. The program, dubbed HubCab, will track more than 150 million taxi trips in a year. The broader idea is to figure out how ridesharing could cut trips by 40 percent. That's not likely to please the holders of those coveted NYC taxicab medallions but would certainly benefit the city in other ways. "The aim of HubCab is to spark thinking about ways of utilizing publicly available data as we explore new concepts for mobility, especially in crowded urban contexts," said Audi spokesman Brad Stertz. Stertz allowed that there remained many legal and "customer acceptance" issues to address with ridesharing and that there was no timeframe for concluding the study or when the findings would be put into effect via an actual ridesharing system. At least it's a start. Check out Audi's press release below. MIT, Audi launch HubCab project in New York City • HubCab will track more than 150 million taxi trips in NYC to gain insight on ride share scenarios • Insights will inform researchers on how car sharing systems can lower vehicle emissions, reduce congestion, and save money and time • Scientific study conducted at Massachusetts Institute of Technology's Senseable City Lab with support of VW Group's ERL, Audi and GE MIT, in partnership with Audi and GE, launches HubCab – a transportation tracking tool aimed at reducing commuting congestion, decreasing vehicle emissions and dramatically lowering the cost of mobility infrastructure. HubCab tracks more than 150 million taxi rides in New York City over the course of a year. With this information, researchers can identify commuter travel patterns and work to develop a more efficient car share system. MIT researchers say HubCab technology could not only save people money and time, but allow users to better plan their taxi rides around the city, potentially reducing the number of trips by 40%.