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Nissan Truck-a-Palooza | Autoblog Podcast #483

Episode #483 of the Autoblog Podcast is here. This week, Dan Roth, Alex Kierstein, and Michael Austin talk about the jam-packed Autoblog Garage, Alex Kierstein's time with several new Nissan trucks including the 2017 Armada, and we wrap it up trying to spend your money. Check it out! Check out the rundown with times for topics, and thanks for listening! Autoblog Podcast #483 The video meant to be presented here is no longer available. Sorry for the inconvenience. Topics 2017 Nissan Armada In The Autoblog Garage 2016 Audi R8 V10 Plus 2016 Jaguar XJR 2016 Jaguar XE Diesel 2016 Jaguar F-Pace 2016 Chevrolet Cruze Premier 2016 Kia Sedona SXL 2017 Mitsubishi Mirage GT Hosts: Dan Roth, Michael Austin, Alex Kierstein Rundown Intro & Garage - 00:00 Nissan Trucks - 19:39 Q&A - 29:38 Total Duration: 40:19 Get The Podcast iTunes – Subscribe to the Autoblog Podcast in iTunes RSS – Add the Autoblog Podcast feed to your RSS aggregator MP3 – Download the MP3 directly Feedback Email – Podcast at Autoblog dot com Review the show in iTunes Podcasts Audi Jaguar Mitsubishi Nissan

Audi traffic light recognition could save 240 million gallons of fuel [UPDATE]

Any hypermiler will tell you that the way you drive your car has a huge impact on how much energy it uses. But these greenfoot drivers haven't had a car that's smart enough to tell them about the inner lives of traffic lights. That's what a prototype system in an Audi A6 Saloon that the German automaker recently tested in Las Vegas can do. Since the car can communicate with local traffic signals and is able to predict when lights will change, the car can help reduce CO2 emissions by up to 15 percent. Further, Audi says that the system could save some 238 million gallons of fuel (900 million liters), if deployed across Germany. We can only imagine what hypermilers could do with this. We got to drive the Audi Online traffic light information system prototype in January, but we focused more on how the system worked rather than the green aspect. Now that Audi has had a bit more time to crunch the numbers, it has released fuel economy information for the connected car. The key points for the eco-side of things are that the driver is told in the dashboard how fast/slow to go to hit the next green light. This can help prevent unnecessary speeding and or encourage drivers to go a bit faster in order to hit the green, thus preventing idling and wasted time. The system is too smart to let you idle for long. Except that Audi Online is too smart to let you idle for long. The Audi connect system can calculate how much longer the light will be red and can access the car's start-stop capabilities and will fire up the engine "five seconds before the green phase." That seems like an awful long time in a world where competitors have figured out ways to restart an engine in 0.35 seconds. We've asked Audi for an explanation on why this buffer is so lengthy, and will let you know what the reasoning is when we hear back. Despite the trials in the A6, Audi says the Audi Online traffic system could be integrated into any Audi model, "subject to the necessary government legislation." Aside from the Sin City tests, Audi is running trials of the connected car in Verona, Italy and Berlin, Germany. If you'd like to test it out yourself some day, take heart from this line in the press release, available below: "A market launch is currently the subject of intense analysis in the United States." *UPDATE: Audi's Mark Dahncke told AutoblogGreen that the five second window is meant, "To alert the driver that the light is about to turn green.

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.