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These Canadians somehow forgot how to drive in snow

Montreal drivers experienced a slow-motion pileup on their streets this weeks thanks to the first snow fall of the season. According to the CBC, slippery conditions caused a small pileup involving cars, buses and even a street clearing vehicle. Onlookers in neighboring office buildings watched as vehicle after vehicle slid down Cote du Beaver Hall and crashed into the scrum of waiting cars. First there was a city bus, then a white Ford F-150 work truck loaded down with ladders, then another city bus came along and sandwiched the poor F-150. A Montreal Police Charger then came down the hill backwards, hit the bus in a slow, sad crash before it was crashed into by an out of control plow truck. Since its posting yesterday, the video of the crash has gone viral. Various other vehicles–a green-topped Scion delivery truck and a couple workaday sedans–were lucky enough to escape the pileup, but still suffered through a white-knuckled slippery descent down the hill. Colin Creado, who works nearby the crash site, told the CBC although it was pretty slippery, he was surprised at all the carnage since the storm was forecast well in advance. "You would have thought ... they would have salted the area or at least cordoned it off, because that road is pretty steep," he told the station. Related Video: This content is hosted by a third party. To view it, please update your privacy preferences. Manage Settings. News Source: CBC Auto News Weird Car News Dodge Ford Driving Safety Truck Commercial Vehicles Police/Emergency Sedan snow montreal winter driving

Detroit Three to lose dominance of North American auto output in 2017

DETROIT — North American vehicle production by the unionized Detroit Three automakers will fall behind the combined North American output of Tesla and automakers from Europe and Asia for the first time this year, IHS Markit forecast on Wednesday. In 2017, the Detroit Three could build 8.6 million vehicles in North America, while Tesla and foreign automakers build 8.7 million, IHS Markit analyst Joe Langley said. By 2024, the gap will widen, with Asian and European automakers and Tesla combining to build about 9.8 million vehicles in North America. General Motors, Ford and the North American operations of Fiat Chrysler Automobiles NV will combine to build 8.1 million vehicles, down 6 percent from this year. Mexico is on track to increase its share of North American vehicle production, Langley said, moving to 4.5 million vehicles a year by 2024 from about 4 million vehicles currently. The milestone for the growth of Tesla and foreign automakers in North America comes as the Trump administration is pushing to limit imports of vehicles from Mexico in negotiations to overhaul the North American Free Trade Agreement. The declining share of North American vehicle production for the Detroit automakers also challenges U.S. and Canadian unions that represent their workers. Canadian workers are on strike at a GM factory in Ontario to protest the automaker's decision to cut jobs and move to Mexico some production of sport utility models built there. Foreign automakers over the past year have announced plans for a wave of new or expanded plants in North America, while Tesla is ramping up to build as many as 500,000 cars a year at its plant in Fremont, Calif. Often referred to as "transplants," the foreign-owned factories are poised to become the mainstream of the North American auto industry. Automakers are increasingly using factories in China or Mexico to build vehicles that used to be assembled solely in the United States, Langley said. He cited as an example Ford's decision to shift production of the Focus small car for North America to a Chinese assembly plant. Reporting by Joseph WhiteRelated Video: Image Credit: Reuters Plants/Manufacturing Chrysler Ford GM

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.