QOTD: The Closest Call You've Ever Had?

In a QOTD post last week, we opened up our memory banks and recalled the days of driver’s ed; the bumpy road we all took to become the car fans we are today. But the dangerous driving moments never end at the learner’s permit or license.

Today we want to know the closest call you’ve ever had.

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QOTD: Driving Down Educational Memory Lane?

Each one of you here in the peanut gallery learned to drive at one point or another. And whether that was via a proper driving school, or, perhaps for the older types, at the wheel of a friend or relative’s car, the memories are there just the same. Today we talk driver’s education and the car which withstood your naive mistreatment. It’s story time.

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Who Will Design the Cars of the Future?

To paraphrase former editor of GOOD, Cord Jefferson, we Millennials are cold-blooded killers. Whether it’s due to lack of income or interest, few industries have been unaffected by our non-traditional spending habits. The auto industry has been especially vulnerable; I have attended academic conferences and read countless thinkpieces theorizing ways to motivate Millennials to fall in love with automobiles like their parents did. Finding buyers for all of these future cars will be tricky, but there’s a greater problem: If nobody in my generation cares for cars, who will do the work to design them?

Even more bleak are the prospects for students who are actually passionate about automobiles. One current transportation design student told me it is easier to get picked for NFL draft than it is to get a job designing cars for a major automaker. In the past, two schools dominated auto design education in America: Detroit’s College for Creative Studies and Pasadena’s ArtCenter College of Design. Today, graduates from these prestigious (and expensive) schools have to compete against a global talent pool, all vying for a limited number of internships.

With such overwhelming odds stacked against them, who would even encourage a prospective student to apply?

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  • W Conrad I'm not afraid of them, but they aren't needed for everyone or everywhere. Long haul and highway driving sure, but in the city, nope.
  • Jalop1991 In a manner similar to PHEV being the correct answer, I declare RPVs to be the correct answer here.We're doing it with certain aircraft; why not with cars on the ground, using hardware and tools like Telsa's "FSD" or GM's "SuperCruise" as the base?Take the local Uber driver out of the car, and put him in a professional centralized environment from where he drives me around. The system and the individual car can have awareness as well as gates, but he's responsible for the driving.Put the tech into my car, and let me buy it as needed. I need someone else to drive me home; hit the button and voila, I've hired a driver for the moment. I don't want to drive 11 hours to my vacation spot; hire the remote pilot for that. When I get there, I have my car and he's still at his normal location, piloting cars for other people.The system would allow for driver rest period, like what's required for truckers, so I might end up with multiple people driving me to the coast. I don't care. And they don't have to be physically with me, therefore they can be way cheaper.Charge taxi-type per-mile rates. For long drives, offer per-trip rates. Offer subscriptions, including miles/hours. Whatever.(And for grins, dress the remote pilots all as Johnnie.)Start this out with big rigs. Take the trucker away from the long haul driving, and let him be there for emergencies and the short haul parts of the trip.And in a manner similar to PHEVs being discredited, I fully expect to be razzed for this brilliant idea (not unlike how Alan Kay wasn't recognized until many many years later for his Dynabook vision).
  • B-BodyBuick84 Not afraid of AV's as I highly doubt they will ever be %100 viable for our roads. Stop-and-go downtown city or rush hour highway traffic? I can see that, but otherwise there's simply too many variables. Bad weather conditions, faded road lines or markings, reflective surfaces with glare, etc. There's also the issue of cultural norms. About a decade ago there was actually an online test called 'The Morality Machine' one could do online where you were in control of an AV and choose what action to take when a crash was inevitable. I think something like 2.5 million people across the world participated? For example, do you hit and most likely kill the elderly couple strolling across the crosswalk or crash the vehicle into a cement barrier and almost certainly cause the death of the vehicle occupants? What if it's a parent and child? In N. America 98% of people choose to hit the elderly couple and save themselves while in Asia, the exact opposite happened where 98% choose to hit the parent and child. Why? Cultural differences. Asia puts a lot of emphasis on respecting their elderly while N. America has a culture of 'save/ protect the children'. Are these AV's going to respect that culture? Is a VW Jetta or Buick Envision AV going to have different programming depending on whether it's sold in Canada or Taiwan? how's that going to effect legislation and legal battles when a crash inevitibly does happen? These are the true barriers to mass AV adoption, and in the 10 years since that test came out, there has been zero answers or progress on this matter. So no, I'm not afraid of AV's simply because with the exception of a few specific situations, most avenues are going to prove to be a dead-end for automakers.
  • Mike Bradley Autonomous cars were developed in Silicon Valley. For new products there, the standard business plan is to put a barely-functioning product on the market right away and wait for the early-adopter customers to find the flaws. That's exactly what's happened. Detroit's plan is pretty much the opposite, but Detroit isn't developing this product. That's why dealers, for instance, haven't been trained in the cars.
  • Dartman https://apnews.com/article/artificial-intelligence-fighter-jets-air-force-6a1100c96a73ca9b7f41cbd6a2753fdaAutonomous/Ai is here now. The question is implementation and acceptance.