Jump to content
  • William Maley
    William Maley

    Two Studies Show Differing Views on Self-Driving Cars

      Both have some interesting results


    There has been a lot of talk about driverless cars with companies (both automotive and tech) promising a safe and grandiose future and a number of high-profile crashes that have resulted in fatalities. This got us wondering how the general public feels about them. Recently, two studies came asking this and their results are very interesting.

    First up is CarGurus which asked 1,873 vehicle owners in the U.S. between the ages of 18 to 65 about self-driving vehicles. 79 percent of participants said they were not excited about owning a self-driving car. 84 percent said they were unlikely to own a self-driving car in the next five years. This number drops to 59 percent when the window is extended to ten years.

    Here's where it gets interesting:

    • In terms of geographical areas, owners on the West Coast are the most excited at 26 percent. The least, those in Central U.S. at 18 percent.
    • When it comes to brands, BMW owners lead the pack when asked if they would consider a self-driving vehicle from their brand - 55 percent.
      • Least likely? That would be Chrysler owners at 23 percent
    • Safety is the key reasons that owners are excited and concerned about self-driving cars - 64 and 81 percent respectively.
    • When asked what company is most trusted to develop self-driving cars, 27 percent of participants said none. Second and a bit of surprise was Tesla at 24 percent. (We're wondering if this survey was done before the fatal crash of a Tesla Model X on Autopilot in late March)

    The second study comes to us from AAA which asked people how trustful are you of self-driving cars. 73 percent said they would be too afraid to ride in an autonomous car, up from 63 percent in late 2017. Additionally, 63 percent of those asked said they would feel less safe either walking or on a bike if there is a self-driving vehicle. We have to assume that the fatal crash involving an Uber autonomous vehicle made this number rise.

    AAA's study also found a big surprise. Millenials, a group that is quick to accept new technologies, are not as trusting as they once were. In late 2007, 49 percent said they were afraid to ride in an autonomous vehicle. Now, that number rose to 64 percent.

    “Despite their potential to make our roads safer in the long run, consumers have high expectations for safety. Our results show that any incident involving an autonomous vehicle is likely to shake consumer trust, which is a critical component to the widespread acceptance of autonomous vehicles,” said Greg Brannon, AAA’s director of Automotive Engineering and Industry Relations.

    Source: Roadshow, AAA


    AAA: American Trust in Autonomous Vehicles Slips

    ORLANDO, Fla. (May 22, 2018) – Following high-profile incidents involving autonomous vehicle technologies, a new report from AAA’s multi-year tracking study indicates that consumer trust in these vehicles has quickly eroded. Today, three-quarters (73 percent) of American drivers report they would be too afraid to ride in a fully self-driving vehicle, up significantly from 63 percent in late 2017. Additionally, two-thirds (63 percent) of U.S. adults report they would actually feel less safe sharing the road with a self-driving vehicle while walking or riding a bicycle.

    “Despite their potential to make our roads safer in the long run, consumers have high expectations for safety,” said Greg Brannon, AAA’s director of Automotive Engineering and Industry Relations. “Our results show that any incident involving an autonomous vehicle is likely to shake consumer trust, which is a critical component to the widespread acceptance of autonomous vehicles.”

    Surprisingly, AAA’s latest survey found that Millennials – the group that has been the quickest to embrace automated vehicle technologies — were the most impacted by these incidents. The percentage of Millennial drivers too afraid to ride in a fully self-driving vehicle has jumped from 49 percent to 64 percent since late 2017, representing the largest increase of any generation surveyed.

    “While autonomous vehicles are being tested, there’s always a chance that they will fail or encounter a situation that challenges even the most advanced system,” said Megan Foster, AAA’s director of Federal Affairs. “To ease fears, there must be safeguards in place to protect vehicle occupants and the motorists, bicyclists, and pedestrians with whom they share the road.”

    AAA supports thorough testing of automated vehicle technologies as they continue to evolve, including testing under progressively complicated driving scenarios and under varying conditions, but not at the expense of safety. Additionally, to help prevent the accidental misuse of the systems, AAA advocates for a common sense, common nomenclature and classification system, and similar performance characteristics of future autonomous vehicle technologies.

    “There are sometimes dozens of different marketing names for today’s safety systems,” continued Brannon. “Learning how to operate a vehicle equipped with semi-autonomous technology is challenging enough without having to decipher the equipment list and corresponding level of autonomy.”

    To help educate consumers on the effectiveness of emerging vehicle technologies, AAA is committed to the ongoing, unbiased testing of automated vehicle technologies. Previous testing of automatic emergency braking, adaptive cruise control, self-parking technology and lane keeping systems has shown both great promise and great variation. Future AAA testing will look at how well systems work together to achieve higher levels of automation.



    User Feedback

    Recommended Comments

    27 minutes ago, William Maley said:
    • When it comes to brands, BMW owners lead the pack when asked if they would consider a self-driving vehicle from their brand - 55 percent. 

    View full article

     

    This is particularly ironic and sad, considering BMW's past image as driver's cars and 'The Ultimate Driving Machine' marketing tagline. 

    Edited by Cubical-aka-Moltar
    • Like 1
    • Upvote 1

    Share this comment


    Link to comment
    Share on other sites
    1 hour ago, Cubical-aka-Moltar said:

    This is particularly ironic and sad, considering BMW's past image as driver's cars and 'The Ultimate Driving Machine' marketing tagline. 

    Guess BMW owners are not Ultimate Driving Machine Drivers anymore. Too caught up in social media of tweeting that they just drank a Coke Zero. 😱

    • Upvote 1

    Share this comment


    Link to comment
    Share on other sites

    Sorry to raise some folks hackles, but AD vehicles is pretty much hand-in-hand with EVs. The media & other 'public speakers' are pushing it so hard, mostly because it's new and therefore nearly automatically gets coverage. It garners clicks. This is my suspicion.

    I mean; there aren't any fully AD vehicles for sale, yet the common spin in print is 'OEM Q is behind the AD development curve!!!'

    I understand how R&D is done... but in actuality- there is no 'curve' yet. These numbers show fledgling possible interest at best, yet "every OEM MUST get their AD vehicle out now!!!" except- they don't have to.

    • Like 1

    Share this comment


    Link to comment
    Share on other sites
    4 hours ago, balthazar said:

    Sorry to raise some folks hackles, but AD vehicles is pretty much hand-in-hand with EVs. The media & other 'public speakers' are pushing it so hard, mostly because it's new and therefore nearly automatically gets coverage. It garners clicks. This is my suspicion.

    I mean; there aren't any fully AD vehicles for sale, yet the common spin in print is 'OEM Q is behind the AD development curve!!!'

    I understand how R&D is done... but in actuality- there is no 'curve' yet. These numbers show fledgling possible interest at best, yet "every OEM MUST get their AD vehicle out now!!!" except- they don't have to.

    Those self-driving cars will be ready for primetime soon enough.  It may be 2030 but we can all wait for them to be fully ready for the road.  Once all the bugs are fully purged and are proven safer than cars under human control, self-driving cars will slowly take over sales and the public imagination.

    Share this comment


    Link to comment
    Share on other sites

    EVs will 'take over' the majority of sales well before AD will, and EVs are looking at a 50 year window from now to accomplish that.

    • Upvote 1

    Share this comment


    Link to comment
    Share on other sites


    Join the conversation

    You can post now and register later. If you have an account, sign in now to post with your account.
    Note: Your post will require moderator approval before it will be visible.

    Guest
    Add a comment...

    ×   Pasted as rich text.   Paste as plain text instead

      Only 75 emoji are allowed.

    ×   Your link has been automatically embedded.   Display as a link instead

    ×   Your previous content has been restored.   Clear editor

    ×   You cannot paste images directly. Upload or insert images from URL.




  • Similar Content

    • By William Maley
      There has been a prevailing thought about the likes of Uber and Lyft that once they switch from human drivers to self-driving vehicles, they would stand to see a significant reduction in overall operating costs. This possibly means consumers could see these services as an alternative to owning a vehicle. But a new study from the Massachusetts Institute of Technology (MIT) disputes that claim.
      Researchers Ashley Nunes and Kristen D. Hernandez examined the San Francisco market on the per-mile cost of an automated taxi service to owning a vehicle. They found an automated taxi would range between $1.58 and $6.01 per mile, while the conventional vehicle would be at $0.72 per mile.
      "When we started going into this work, we found there's a lot of hand-waving. There was a notion that 'All we have to do is remove the driver, assume a reduction in insurance, and there's our great number.' We said, 'Let's hold it up to scrutiny.' It didn't hold up," explained Nunes to Automotive News.
      The massive disparity gap isn't due to ownership or maintenance, rather a fundamental issue about the taxi market in general. Nunes said taxi operators drive too many miles without a paying customer - hence their higher costs. In San Francisco, the MIT researchers found a 52 percent utilization rate for ride-hailing. Even if they were able to reach 100 percent utilization, Nunes said they would still be "unable to provide a fare that's comparable to car ownership."
      "Their approach with the investment folks has been, 'Trust us, we'll figure this out and it'll be this great utopia where everyone is jumping from an Uber to a scooter to an air taxi.The future may well be all those things. But you need to demonstrate you can offer the service at a price point that consumers are willing and able to pay. Thus far, they are unable to do so," said Nunes.
      Source: Automotive News (Subscription Required)

      View full article
    • By William Maley
      There has been a prevailing thought about the likes of Uber and Lyft that once they switch from human drivers to self-driving vehicles, they would stand to see a significant reduction in overall operating costs. This possibly means consumers could see these services as an alternative to owning a vehicle. But a new study from the Massachusetts Institute of Technology (MIT) disputes that claim.
      Researchers Ashley Nunes and Kristen D. Hernandez examined the San Francisco market on the per-mile cost of an automated taxi service to owning a vehicle. They found an automated taxi would range between $1.58 and $6.01 per mile, while the conventional vehicle would be at $0.72 per mile.
      "When we started going into this work, we found there's a lot of hand-waving. There was a notion that 'All we have to do is remove the driver, assume a reduction in insurance, and there's our great number.' We said, 'Let's hold it up to scrutiny.' It didn't hold up," explained Nunes to Automotive News.
      The massive disparity gap isn't due to ownership or maintenance, rather a fundamental issue about the taxi market in general. Nunes said taxi operators drive too many miles without a paying customer - hence their higher costs. In San Francisco, the MIT researchers found a 52 percent utilization rate for ride-hailing. Even if they were able to reach 100 percent utilization, Nunes said they would still be "unable to provide a fare that's comparable to car ownership."
      "Their approach with the investment folks has been, 'Trust us, we'll figure this out and it'll be this great utopia where everyone is jumping from an Uber to a scooter to an air taxi.The future may well be all those things. But you need to demonstrate you can offer the service at a price point that consumers are willing and able to pay. Thus far, they are unable to do so," said Nunes.
      Source: Automotive News (Subscription Required)
    • By William Maley
      Developing autonomous vehicles in sunny, dry locales like Phoenix, Arizona has proven to be difficult due to numerous variables such as traffic and human behavior. But an upcoming study from Michigan State University reveals that autonomous technologies still have a number of hurdles as testing begins in areas with changing conditions.
      Automotive News had the chance to speak with Hayder Radha, an MSU professor of electrical and computer engineering who oversaw the upcoming study. The findings reveal that the algorithms that are used to distill the various bits of information coming from the cameras and radar/lidar sensors have issues when it lightly rains.
      "When we run these algorithms, we see very noticeable, tangible degradation in detection. Even low-intensity rain can really create some serious problems, and as you increase the intensity, the performance of what we consider state-of-the-art mechanisms can almost become paralyzed," said Radha.
      "Once you throw in a few drops of rain, they get confused. It's like putting eyedrops in your eye and expecting to see right away."
      Researchers looked at various parameters in their study, including the size of the raindrops and the effect of wind. Using a scale that ranged from a clear day to a major downpour, the study revealed that algorithms failed to detect as much "as 20 percent of objects when the rain intensity was 10 percent of the worst-case scenario." This increased to 40 percent when the intensity of the rain increased to 30 percent.
      Other weather-related issues that were revealed in MSU's study,
      The high-resolution maps that autonomous systems to determine their location may need to be updated due to the changing seasons. "You can imagine in environments where there are a lot of leaves on trees or on shrubs close to the road, they are an essential part of the map. So summer and winter are completely different. When they fall down in winter, you have nothing to work with. So that tells you that for this technology to be robust, it needs to be developed in different conditions than you see only in Arizona and Silicon Valley," explained Radha. Cold temperatures play havoc with lidar sensors. The study reveals that the amount of "poor-quality or irrelevant returns from lidar sensors" increased as if the temperature was at 10 degrees Fahrenheit or less. Some of these issues can be addressed by getting more information from radar and lidar as engineers develop various ways to use them to classify objects. But Radha explains the big improvements will come when self-driving tech is tested in other locations such as Michigan and Pittsburgh to name a couple.
      Source: Automotive News (Subscription Required)
  • Posts

  • Social Stream

  • Who's Online (See full list)

  • My Clubs

About us

CheersandGears.com - Founded 2001

We ♥ Cars

Get in touch

Follow us

Recent tweets

facebook

×
×
  • Create New...