2014 Ford F150 on 2040-cars
2840 5th Ave, Huntington, West Virginia, United States

Engine:3.7L V6 24V MPFI DOHC
Transmission:6-Speed Automatic
VIN (Vehicle Identification Number): 1FTEX1EM4EFC06851
Stock Num: H40057
Make: Ford
Model: F150
Year: 2014
Exterior Color: White
Options: Drive Type: 4WD
Number of Doors: 4 Doors
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Auto blog
2015 Ford Mustang: Obsessively covered [w/videos + poll]
Thu, 05 Dec 2013Here at Autoblog, we've officially stamped December 5, 2013, as Ford Mustang Day. Sure, the sixth-generation Pony Car started leaking out onto the web days ago, but all of the official, non-embargoed hotness has come out today. And man, there's been a lot.
In terms of new car debuts, this is a really big one - not unlike all of the Corvette madness that kicked off the 2013 automotive season. So to make sure you haven't missed anything, here's a wrap-up of everything you need to know about the 2015 Ford Mustang.
Deep Dive: 2015 Ford Mustang
Ford EcoBoost smashes records at Daytona
Thu, 10 Oct 2013Some mighty machines have lapped the banks of the Daytona International Speedway over the years: thunderous V8-powered stock cars, Le Mans-conquering Group C prototypes, open-wheel Champ Cars, knee-dragging superbikes... heck, the infield lake has even hosted powerboat racing. But this - this is the fastest car ever to lap the legendary raceway.
What you're looking at is the new Daytona Prototype being prepared by Riley Technologies for the new United SportsCar Championship. The car, released just last week, is powered by a new 3.5-liter turbocharged V6 from Ford's EcoBoost family, and just obliterated the top speed at the track with a blistering 222.971 miles per hour through the traps.
That's enough to annihilate the previous record that was set, also under Ford power, by Bill Elliott while placing his Thunderbird on pole for the 1987 Daytona 500 that he would go on to win. His 210.364 mph record had stood for 26 years until now.
Ford partnering with MIT, Stanford on autonomous vehicle research
Fri, 24 Jan 2014Ask any car engineer what's the biggest variable in achieving fuel economy targets, and he'll tell you "the driver." If one human can't understand human driving behavior enough to be certain about an innocuous number like miles per gallon, how is an autonomous car supposed to figure out what hundreds of other drivers are going to do in the course of a day? Ford has enlisted the help of Stanford and the Massachusetts Institute of Technology to find out.
Starting with the automated Fusion Hybrid introduced in December, MIT will be developing algorithms that driverless cars can use to "predict actions of other vehicles and pedestrians" and objects within the three-dimensional map provided by its four LIDAR sensors.
The Stanford team will research how to extend the 'vision' of that LIDAR array beyond obstructions while driving, analogous to the way a driver uses the entire width of a lane to see what's ahead of a larger vehicle in front. Ford says it wants to "provide the vehicle with common sense" as part of its Blueprint for Mobility, preparing for an autonomous world from 2025 and beyond.