1966 Ford Galaxie 500 Ltd 5.8l Fast Back C-4 Trans Good Running Condition on 2040-cars

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Ford GT dominates Le Mans qualifying, gets slapped with performance adjustment

Fifty years after Bruce McLaren and Chris Amon drove the Ford GT40 to victory at the 24 Hours of Le Mans, Ford is poised for a historic return to the Circuit de la Sarthe. The new Ford GT took the top two qualifying positions in the LMGTE Pro class, and four of the top five. Ferrari's 488 filled in the rest of the spots in the top seven, the first two from AF Corse. In other words, we're primed for a reboot of the classic Ford-Ferrari feud at this year's race. Or not, as the ACO, which organizes the 24 Hours of Le Mans, announced sweeping pre-race Balance of Performance (BOP) adjustments this morning that make this year's GT class anybody's race. In LMP1, last year's overall winner Porsche locked up the top two spots with the 919 Hybrid and will lead the entire field at race start. Toyota's two-car factory effort followed with qualifying times 1.004 and 2.170 seconds behind the pole lap. Audi rounds out the manufacturer-backed LMP1 class in fifth and sixth. Full qualifying results can be found here. The storyline for the GT cars is perfect - some say too perfect. Ford's class-leading times came after BOP adjustment to the Corvette Racing C7.R before qualifying. BOP is intended to level the playing field in the class by adjusting power, ballast, and fuel capacity. (Check out this explainer video for more, or even just if you love French accents.) But the process is riddled with unknowns and ripe for accusations of sandbagging. That is, if the Ford cars were intentionally slow in practice they could hope for BOP adjustment to improve their race chances. On the Corvette side, last year's GTE Pro winner went from the top of the field to the bottom, barely improving from practice to qualifying. If you think Le Mans is as rigged at the NBA Playoffs, well, it's not that simple. Because if Ford and Ferrari held back until qualifying - the eighth-place Porsche 911 RSR is three-and-a-half seconds off the class pole time - it was a pretty dumb strategy. This morning, the ACO tried to put things back in order by limiting the boost in the Ford GT's twin-turbo V6 and adding 11 pounds of ballast. Ferrari was also given extra weight but allowed more fuel capacity. The Corvette and Aston Martin teams were both given breaks on their air restrictors, which will allow their engines to make more power. Both Ford and Porsche also received extra fuel capacity.

Ford gathering data to improve how bikes and car interact

More than a hundred years ago, the Ford Motor Company changed the landscape of US cities with its cars, and the company is once again trying to disrupt the way Americans move around their metropolises by ditching four wheels for two. Ford is hoping data will make the difference in its quest to create a city friendly to both cars and bikes with what it calls a "mobility experiment" known as Info Cycle. Engineers are riding bikes with data sensors on the front fork around the tech town of Palo Alto, CA, according to CityLab. This data is analyzed and made public on Ford's open-source site called OpenXC. The sensors record everything from speed to temperature to ambient light. Ford hopes the data give city governments and biking activists the tools they need to make roads safer for all travelers. Along with data gathered from cars, Ford hopes to foster a better urban ecosystem for both bikers and drivers. Ford has tried to crack into the bike market before, but concepts like the Think and e-bike were never fully realized or came to market too early to capitalize on the current transportation revolution. Now that car ownership and miles driven are down and alternative modes of transportation are catching on in the United States, Ford wants to be on the cutting edge of the mobile revolution. Earlier this year, Ford introduced the MoDe:Flex, an electric bike concept, along with the previously announced MoDe:Me and MoDe:Pro. Related Video: News Source: CityLab Green Ford Driving Bikes data

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