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Audi calls R18 E-Tron Quattro its 'most complex race car'

Technically speaking, Audi's R18 E-Tron Quattro is quite technical. The German automaker says the diesel-hybrid is the "most complex race car" it's ever created. And we'll take their word for it. The Audi, which pairs a V6 turbodiesel powering the rear wheels with two electric motors, is all about connectivity, giving the car's crew the opportunity to constantly monitor the vehicle while it's racing. The car sends in a host of data each lap to the crew's computers, and the vehicle's telemetry system constantly keeps tabs on things like hybrid energy levels, cockpit temperature and boost-pressure levels. In all, the amount of data parameters is more than 100 times greater than in 1989, when Audi first tested a race car equipped with automatic data transmission capabilities. Audi first released specs on the updated version of the R18 E-Tron Quattro late last year, trumpeting the vehicle's advantages in competing in the LMP1 class of the 2014 World Endurance Championship (WEC). Audi made the car a little narrower and a little taller and it complies with a new WEC regulation requiring the front end set off by a new wing. Take a look at Audi's most recent press release below. AUDI R18 E-TRON QUATTRO WITH COMPLEX ELECTRONIC ARCHITECTURE • Telemetry connection between race car and pit lane • Permanent acquisition of far more than 1,000 parameters • Various electronic control units interlinked by a multitude of CAN Bus systems Ingolstadt, May 5, 2014 – The Audi R18 e-tron quattro is the most complex race car created in Ingolstadt and Neckarsulm to date. This not only applies to the mechanics. The electronics of the most recent LMP1 race car with the four rings is more sophisticated than ever before. The age of electronic data transmission from the race car on track began for Audi in 1989. At that time, an Audi 90 quattro in the IMSA GTO series radioed eight parameters to the garage where engine speeds and a few pressures and temperatures were plotted on printouts – a tiny step from today's perspective, but one that provided important insights at the time. Today, an Audi R18 e-tron quattro on more than a thousand channels, in cycles that in some cases only amount to milliseconds, generates data of crucial importance to a staff of engineers at Audi Sport. At Le Mans, the engineers constantly monitor their race cars for 24 hours.

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%.

Delphi thrilled with results from autonomous car's cross-country trip

In the first trip across the United States ever made by an autonomous car, engineers from Delphi Automotive were surprised to learn that, in some cases, their vehicle behaved a lot like a human driver. "The car was scared of tractor trailers," said Jeff Owens, the company's chief technology officer. "The car edged to the left just a little bit when it would pass trucks, and that was an interesting observation." Engineers made hundreds of notes throughout the drive, as the autonomous car covered 3,400 miles through 15 states en route to a showcase near the New York Auto Show. Overall, company officials said the car performed better than anticipated in a variety of road and weather conditions. In the course of the cross-country drive, drivers actually controlled the car only for about 50 miles, and those cases were limited to on-and-off ramps and the occasional construction zone where lanes were not marked or only sporadically marked. The purpose of the trip was to glean information on how the autonomous car worked in a real-world environment. Google and others have tested autonomous cars and autonomous features in select real-world environments before, but Delphi's adventure was the first to trek into a test with such varied challenges over a nine-day trip that began near the Golden Gate Bridge on March 22. There are some things the engineers have already learned, like the fact the camera systems had the occasional blip when the sun-angle was low. And there are some things to still be learned, as they pour over three terrabytes worth of data from cameras, radar and lidar sensors in the weeks ahead. "It's going to take us a couple weeks to digest all this," Owens said. "But we had all the data from tests. It was time to put this on the road." Built into an Audi SQ5, the vehicle was striking, if only for the fact it looked like a normal car. Many other autonomous vehicles have quirky sensors atop the roof or other features that make them stand out as experiments. Delphi arranged this one to look as much like a normal car as possible, right down to stowing an army of computers under cargo mats, so the rear contained as much trunk space as the production model. If a fellow motorist didn't know where to look -- or take the time to notice the person in the driver's seat didn't have their hands on the wheel -- there was no reason to suspect this was anything other than a regular car.