1966 Ford Mustang Gt350 2+2 Fastback 302 V8 - 5speed on 2040-cars

Auto blog

Who sold the most heavy-duty pickups in 2012? PickupTrucks.com investigates

Domestic manufacturers enjoyed a good year for heavy-duty pickup sales in 2012. PickupTrucks.com has taken a close look at exactly how those sales broke down between each manufacturer and between three-quarter and one-ton pickups. Ford sold some 67,786 F-250 Super Duty models last year with the Chevrolet Silverado 2500 HD falling just behind at 56,359 units. The Ram 2500 HD came in third at 41,918, while the GMC Sierra 2500 HD earned itself fourth place with 27,616 deliveries. While Ford held onto the top spot in the one-ton market, Ram easily nailed down second place by selling more 3500 HD models last year than General Motors sold Silverado 3500 HD and Sierra 3500 HD trucks combined.
So, did GM manage to sell more trucks than Ford with its two brands? Very nearly. Ford sold a total of 119,338 heavy-duty pickups to GM's 111,555. Ram, meanwhile, moved a distant 77,583. But perhaps more interesting is the diesel take rate in this segment. PickupTrucks.com says 80 percent of all domestic one-ton trucks roll from the dealer lot with a turbo-diesel under the hood. Head over to the site for a closer look at the breakdown.

Rising aluminum costs cut into Ford's profit

When Ford reports fourth-quarter results on Wednesday afternoon, it is expected to fret that rising metals costs have cut into profits, even as rivals say they have the problem under control. Aluminum prices have risen 20 percent in the last year and nearly 11 percent since Dec. 11. Steel prices have risen just over 9 percent in the last year. Ford uses more aluminum in its vehicles than its rivals. Aluminum is lighter but far more expensive than steel, closing at $2,229 per tonne on Tuesday. U.S. steel futures closed at $677 per ton (0.91 metric tonnes). Republican U.S. President Donald Trump's administration is weighing whether to impose tariffs on imported steel and aluminum, which could push prices even higher. Ford gave a disappointing earnings estimate for 2017 and 2018 last week, saying the higher costs for steel, aluminum and other metals, as well as currency volatility, could cost the company $1.6 billion in 2018. Ford shares took a dive after the announcement. Ford Chief Financial Officer Bob Shanks told analysts at a conference in Detroit last week that while the company benefited from low commodity prices in 2016, rising steel prices were now the main cause of higher costs, followed by aluminum. Shanks said the automaker at times relies on foreign currencies as a "natural hedge" for some commodities but those are now going in the opposite direction, so they are not working. A Ford spokesman added that the automaker also uses a mix of contracts, hedges and indexed buying. Industry analysts point to the spike in aluminum versus steel prices as a plausible reason for Ford's problems, especially since it uses far more of the expensive metal than other major automakers. "When you look at Ford in the context of the other automakers, aluminum drives a lot of their volume and I think that is the cause" of their rising costs, said Jeff Schuster, senior vice president of forecasting at auto consultancy LMC Automotive. Other major automakers say rising commodity costs are not much of a problem. At last week's Detroit auto show, Fiat Chrysler Automobiles NV's Chief Executive Officer Sergio Marchionne reiterated its earnings guidance for 2018 and held forth on a number of topics, but did not mention metals prices. General Motors Co gave a well-received profit outlook last week and did not mention the subject. "We view changes in raw material costs as something that is manageable," a GM spokesman said in an email.

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.