2005 Ford Explorer Sport Trac Xls Sport Utility 4-door 4.0l on 2040-cars

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BMW V8-powered Ford Model A is the definition of Hot Rod

Today, hotrodding has a pretty staid definition. Take one classic American car, add one classic American V8, sprinkle with tire smoke and you pretty much have every hot rod to roll out of a shop in the last 40 years. Mike Borroughs knows it wasn't always this way. Once upon a time, getting your bucket to go faster meant grabbing whatever parts were lazing about the yard, bolting them together with a bit of ingenuity and laughing your way down the quarter mile. It's in that spirit that Burroughs built his 1928 Ford Model A.
Rather than turn to the tired flathead or the common Chevrolet small block, Burroughs plucked a 4.0-liter V8 from a 1995 BMW 7 Series. With 300 horsepower and 300 pound-feet of torque, the engine has no trouble shuffling the old A around town. He had to build a custom chassis to get everything to cooperate, but the result is a 1,500-pound heathen that looks built to harass dry lake beds. You can check it out in the video below. Be warned, the soundtrack by Hanni el Khatib may not be safe for work - awesomeness of this caliber rarely is.

Ford wants smart cruise that's speed and grade sensitive

Ford is working to make adaptive cruise control even smarter and more economical for future vehicles. The automaker now has a patent (pdf link) on a system to use information on the grade of the road, traffic data, and a driver's preferences to eke out better fuel mileage over a journey. This solution would essentially put a little hypermiling right into a model's software. The Blue Oval's patent refers to this tech as "route navigation with optimal speed profile," and the system starts by splitting the way to the driver's ultimate destination into many smaller pieces. Each one is analyzed based on GPS data, and traffic info is also constantly updated. Based on the occupants' preferred travel time, all this info is combined to figure out the most efficient speed for each leg of the journey. All of these calculations are actually more than the car's computers can handle, so some of the math is offloaded to a cloud-based network. According to Ford, some of the benefits come when tackling hills while diving. Maintaining a single speed when going up and down steep grades isn't the most efficient method, but current technology can't easily make the necessary adjustments. This system uses the GPS data to adapt the vehicle's speed and leave the situation with better fuel economy. Ford is currently making major investments into autonomous driving technology and has some prestigious partners. While the patent documents don't specifically mention the optimal speed profiles for driverless vehicles, they seem like a natural fit. Over the course of an entire trip, the fuel economy gains would likely be even greater than over a few miles on a relatively flat interstate.

Ford partnering with MIT, Stanford on autonomous vehicle research

Ask 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.