03-27-2017, 03:03 PM
Location: Atlanta
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Appreciate the insight Midpack
I think we are going to see the quickest shift to AV type tech in trucking/logistics and then "rideshare" services. Both those industries stand to make tons and tons of money off these changes so obviously that's where the most innovation will happen. Those innovations will be then be passed down to passenger cars but it won't trickle too far behind.
I suspect a timeline of widespread deployment of AV tech in trucking/logistics within the next 5-10 years. Massive job layoffs in this industry in 10-15 years. Hope people in those industries aren't digging their head deeper into the sand and not prepping for the future, but I imagine that is exactly what is going on...
03-27-2017, 03:32 PM
Location: NC
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Quote:
Originally Posted by
tikigod311
Appreciate the insight Midpack
I think we are going to see the quickest shift to AV type tech in trucking/logistics and then "rideshare" services. Both those industries stand to make tons and tons of money off these changes so obviously that's where the most innovation will happen. Those innovations will be then be passed down to passenger cars but it won't trickle too far behind.
I suspect a timeline of widespread deployment of AV tech in trucking/logistics within the next 5-10 years. Massive job layoffs in this industry in 10-15 years. Hope people in those industries aren't digging their head deeper into the sand and not prepping for the future, but I imagine that is exactly what is going on...
+1. Long haul trucking will probably be first, and I've read some are already underway on limited interstate routes between major cities. Manually driven trucks will still be shuttling trailers to and from highway driverless trucks at first. In the same way they shuttle to highways that allow double and triple trailers now, or to and from train yards.
As for cars, people are already experimenting with Teslas and various level 2 cars on open road low traffic interstates now. As for cities, everything I've read suggests we'll see urban areas on prescribed routes, where road conditions/signs/sensors can be more easily maintained, and because they're much lower speed than highways. That will expand out from the cities to suburbs, and rural areas will be last. Driverless cars will follow the same rollout, with rural areas being underserved if served at all.
One of the big remaining challenges is snow, when the roads and condition become unrecognizable to most SDC systems. So cold climate areas
may lag moderate climate areas too.
Whether or not roads will have to meet new standards WRT lines, signs, sensors, lights, etc. remains to be seen. Bicycles and pedestrians may be required to wear sensors if they're operating on public roads, but I am NOT saying that's a given by any means. Some SDC technogies rely on clear lane lines, while others don't need lines.
It's going to be interesting, I can't wait...
Last edited by Midpack; 03-27-2017 at 04:14 PM ..
03-27-2017, 03:37 PM
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Quote:
Originally Posted by
cqholt
Isn't this going to be an issue with AVs in the future? I mean not everyone is going to switch at once.
Is it more of an issue with AV than it is with human driven vehicles? If some yahoo blows through a light and smashes into you, does it matter whether you're driving vs. the computer? If there's any hope of last-split-second avoidance, the computer is to have a better chance than a human.
03-27-2017, 03:46 PM
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Quote:
Originally Posted by
tikigod311
I think we are going to see the quickest shift to AV type tech in trucking/logistics and then "rideshare" services.
I know you put it in quotes, tiki, but I'm thinking about going to war against the term "rideshare." At least until Uber and Lyft agree that I can hop out of the car without paying and go, "Hey, buddy, thanks for the ride!"
03-27-2017, 03:46 PM
Location: Atlanta
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Quote:
Originally Posted by
arjay57
If there's any hope of last-split-second avoidance, the computer is to have a better chance than a human.
Exactly. I think some have not fully considered how much quicker a computer can react to situations. Never distracted with a multitude of "eyes" via numerous sensors, find me a human that can do better. It's just not possible.
We have nearly 300 auto fatalities in Georgia this year alone. To quote the pres... "SAD." The current situation is a problem and AVs will only make it better.
EDIT- I put that term in quotes thanks to you! Your war on "rideshare" already has one success
03-28-2017, 08:25 PM
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Quote:
Originally Posted by
tikigod311
I suspect a timeline of widespread deployment of AV tech in trucking/logistics within the next 5-10 years. Massive job layoffs in this industry in 10-15 years. Hope people in those industries aren't digging their head deeper into the sand and not prepping for the future, but I imagine that is exactly what is going on...
I'm not sure how there could be enough other jobs to fulfill THAT many people, and the scores of others people are so giddy to see lost to automation. I don't care how much these people prepare...I think we really need to start thinking about how we are going to change our economy and existence to deal with tens of millions losing their jobs to automation.
Of course, I will be really interested to see how a 53' tractor trailer deals with so many of the things one of them does while fully automated...
03-29-2017, 02:08 AM
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Quote:
Originally Posted by
arjay57
Is it more of an issue with AV than it is with human driven vehicles? If some yahoo blows through a light and smashes into you, does it matter whether you're driving vs. the computer? If there's any hope of last-split-second avoidance, the computer is to have a better chance than a human.
I just don't trust this yet
Computer can get errors and glitches
I think it adds another degree of responsibility. Today for some taking care of their car is already an issue. But this involves technology above most people heads. Now we got to worry if bob got his computer update so it can self drive properly.
03-29-2017, 06:28 AM
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Quote:
Originally Posted by
chiatldal
I just don't trust this yet
Computer can get errors and glitches
Just to present the other side, consider this:
Human systems are subject to multiple catastrophic failure modes, many of which occur quite frequently. Distracted drivers. Drunk drivers. Drowsy drivers and narcoleptic drivers. Drivers with sudden medical emergencies. Disoriented and lost drivers, drivers who don't understand or obey traffic signals and road signs, eating drivers, untrained and inexperienced drivers, mentally ill drivers, raging and aggressive drivers, criminal drivers, visually impaired drivers, careless drivers, medicated drivers, uncoordinated drivers, makeup applying drivers, slow-witted drivers, drivers having sex, and much more.
In addition, our current vehicles are heavily dependent on technology and complex mechanical systems. That's also true of airplanes, medical devices, industrial controls and countless other things. Yet we rely on them constantly, even though they could wreak havoc if they go awry.
What's different about self-driving technology?
03-29-2017, 09:15 AM
Location: Atlanta
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Quote:
Originally Posted by
chiatldal
I just don't trust this yet
Computer can get errors and glitches
I think it adds another degree of responsibility. Today for some taking care of their car is already an issue. But this involves technology above most people heads. Now we got to worry if bob got his computer update so it can self drive properly.
I dunno about you, but I see errors and glitches constantly every day on our roads committed by humans. I
have to drive in a way to specifically avoid other people's constant errors. Human drivers are really really really really bad, your commute every day and the current death toll of 300 this year alone in Georgia should be proof enough of this
In regards to the concern about end users keeping their car up to date, think of all the people that don't update their cars and run on bald tires or folks who do not properly maintain their brakes. I would imagine updates to AVs would be much more reliable thanks to OTA updates using the cell network or your home wifi.
03-29-2017, 09:28 AM
Location: NC
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Quote:
Originally Posted by
chiatldal
I just don't trust this yet
Computer can get errors and glitches
I think it adds another degree of responsibility. Today for some taking care of their car is already an issue. But this involves technology above most people heads. Now we got to worry if bob got his computer update so it can self drive properly.
Unfortunately human errors and glitches are well known too, it's not as if self driving cars have to be perfect to be an improvement. And after years of improvement, it's getting worse again, presumably with distracted driving on the upswing.
Over the past few years, human error has been attributed as the cause in 90% of all auto accidents. Self-driving cars won't be perfect ("errors and glitches"), but humans are far from perfect, and "computers" won't be susceptible to many human errors, e.g. distracted, intoxicated, tired, impaired vision, poor reaction times (elderly?), etc.
And automating updates does not have to be difficult, it could be automated with no human action required.
Quote:
In 2015, 35,092 people died in motor vehicle crashes, up 7.2 percent from 2014, according to the National Highway Traffic Safety Administration.
The 7.2 percent increase in 2015 was the highest in almost 50 years. The largest increase previously was an 8.1-percent increase from 1965 to 1966.
In 2015, 96 people died each day in motor vehicle crashes and 6,700 people were injured [2.45 million per year].
Motor vehicle crashes were the leading cause of death in 2014 for individuals age 11 and also for ages 16 through 24.
According to NHTSA, the economic cost of motor vehicle crashes (police-reported and unreported) totaled $277 billion in 2010, amounting to almost $897 for every person living in the United States and for 1.9 percent of the U.S Gross Domestic Product.
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People in Group quarters - Military disciplinary barracks (%)
People in Group quarters - State prisons (%)
People in Group quarters - Other types of correctional institutions (%)
People in Group quarters - Nursing homes (%)
People in Group quarters - Hospitals/wards, hospices, and schools for the handicapped (%)
People in Group quarters - Hospitals/wards and hospices for chronically ill (%)
People in Group quarters - Hospices or homes for chronically ill (%)
People in Group quarters - Military hospitals or wards for chronically ill (%)
People in Group quarters - Other hospitals or wards for chronically ill (%)
People in Group quarters - Hospitals or wards for drug/alcohol abuse (%)
People in Group quarters - Mental (Psychiatric) hospitals or wards (%)
People in Group quarters - Schools, hospitals, or wards for the mentally retarded (%)
People in Group quarters - Schools, hospitals, or wards for the physically handicapped (%)
People in Group quarters - Institutions for the deaf (%)
People in Group quarters - Institutions for the blind (%)
People in Group quarters - Orthopedic wards and institutions for the physically handicapped (%)
People in Group quarters - Wards in general hospitals for patients who have no usual home elsewhere (%)
People in Group quarters - Wards in military hospitals for patients who have no usual home elsewhere (%)
People in Group quarters - Juvenile institutions (%)
People in Group quarters - Long-term care (%)
People in Group quarters - Homes for abused, dependent, and neglected children (%)
People in Group quarters - Residential treatment centers for emotionally disturbed children (%)
People in Group quarters - Training schools for juvenile delinquents (%)
People in Group quarters - Short-term care, detention or diagnostic centers for delinquent children (%)
People in Group quarters - Type of juvenile institution unknown (%)
People in Group quarters - Noninstitutionalized population (%)
People in Group quarters - College dormitories (includes college quarters off campus) (%)
People in Group quarters - Military quarters (%)
People in Group quarters - On base (%)
People in Group quarters - Barracks, unaccompanied personnel housing (UPH), (Enlisted/Officer), ;and similar group living quarters for military personnel (%)
People in Group quarters - Transient quarters for temporary residents (%)
People in Group quarters - Military ships (%)
People in Group quarters - Group homes (%)
People in Group quarters - Homes or halfway houses for drug/alcohol abuse (%)
People in Group quarters - Homes for the mentally ill (%)
People in Group quarters - Homes for the mentally retarded (%)
People in Group quarters - Homes for the physically handicapped (%)
People in Group quarters - Other group homes (%)
People in Group quarters - Religious group quarters (%)
People in Group quarters - Dormitories (%)
People in Group quarters - Agriculture workers' dormitories on farms (%)
People in Group quarters - Job Corps and vocational training facilities (%)
People in Group quarters - Other workers' dormitories (%)
People in Group quarters - Crews of maritime vessels (%)
People in Group quarters - Other nonhousehold living situations (%)
People in Group quarters - Other noninstitutional group quarters (%)
Residents speaking English at home (%)
Residents speaking English at home - Born in the United States (%)
Residents speaking English at home - Native, born elsewhere (%)
Residents speaking English at home - Foreign born (%)
Residents speaking Spanish at home (%)
Residents speaking Spanish at home - Born in the United States (%)
Residents speaking Spanish at home - Native, born elsewhere (%)
Residents speaking Spanish at home - Foreign born (%)
Residents speaking other language at home (%)
Residents speaking other language at home - Born in the United States (%)
Residents speaking other language at home - Native, born elsewhere (%)
Residents speaking other language at home - Foreign born (%)
Class of Workers - Employee of private company (%)
Class of Workers - Self-employed in own incorporated business (%)
Class of Workers - Private not-for-profit wage and salary workers (%)
Class of Workers - Local government workers (%)
Class of Workers - State government workers (%)
Class of Workers - Federal government workers (%)
Class of Workers - Self-employed workers in own not incorporated business and Unpaid family workers (%)
House heating fuel used in houses and condos - Utility gas (%)
House heating fuel used in houses and condos - Bottled, tank, or LP gas (%)
House heating fuel used in houses and condos - Electricity (%)
House heating fuel used in houses and condos - Fuel oil, kerosene, etc. (%)
House heating fuel used in houses and condos - Coal or coke (%)
House heating fuel used in houses and condos - Wood (%)
House heating fuel used in houses and condos - Solar energy (%)
House heating fuel used in houses and condos - Other fuel (%)
House heating fuel used in houses and condos - No fuel used (%)
House heating fuel used in apartments - Utility gas (%)
House heating fuel used in apartments - Bottled, tank, or LP gas (%)
House heating fuel used in apartments - Electricity (%)
House heating fuel used in apartments - Fuel oil, kerosene, etc. (%)
House heating fuel used in apartments - Coal or coke (%)
House heating fuel used in apartments - Wood (%)
House heating fuel used in apartments - Solar energy (%)
House heating fuel used in apartments - Other fuel (%)
House heating fuel used in apartments - No fuel used (%)
Armed forces status - In Armed Forces (%)
Armed forces status - Civilian (%)
Armed forces status - Civilian - Veteran (%)
Armed forces status - Civilian - Nonveteran (%)
Fatal accidents locations in years 2005-2021
Fatal accidents locations in 2005
Fatal accidents locations in 2006
Fatal accidents locations in 2007
Fatal accidents locations in 2008
Fatal accidents locations in 2009
Fatal accidents locations in 2010
Fatal accidents locations in 2011
Fatal accidents locations in 2012
Fatal accidents locations in 2013
Fatal accidents locations in 2014
Fatal accidents locations in 2015
Fatal accidents locations in 2016
Fatal accidents locations in 2017
Fatal accidents locations in 2018
Fatal accidents locations in 2019
Fatal accidents locations in 2020
Fatal accidents locations in 2021
Alcohol use - People drinking some alcohol every month (%)
Alcohol use - People not drinking at all (%)
Alcohol use - Average days/month drinking alcohol
Alcohol use - Average drinks/week
Alcohol use - Average days/year people drink much
Audiometry - Average condition of hearing (%)
Audiometry - People that can hear a whisper from across a quiet room (%)
Audiometry - People that can hear normal voice from across a quiet room (%)
Audiometry - Ears ringing, roaring, buzzing (%)
Audiometry - Had a job exposure to loud noise (%)
Audiometry - Had off-work exposure to loud noise (%)
Blood Pressure & Cholesterol - Has high blood pressure (%)
Blood Pressure & Cholesterol - Checking blood pressure at home (%)
Blood Pressure & Cholesterol - Frequently checking blood cholesterol (%)
Blood Pressure & Cholesterol - Has high cholesterol level (%)
Consumer Behavior - Money monthly spent on food at supermarket/grocery store
Consumer Behavior - Money monthly spent on food at other stores
Consumer Behavior - Money monthly spent on eating out
Consumer Behavior - Money monthly spent on carryout/delivered foods
Consumer Behavior - Income spent on food at supermarket/grocery store (%)
Consumer Behavior - Income spent on food at other stores (%)
Consumer Behavior - Income spent on eating out (%)
Consumer Behavior - Income spent on carryout/delivered foods (%)
Current Health Status - General health condition (%)
Current Health Status - Blood donors (%)
Current Health Status - Has blood ever tested for HIV virus (%)
Current Health Status - Left-handed people (%)
Dermatology - People using sunscreen (%)
Diabetes - Diabetics (%)
Diabetes - Had a blood test for high blood sugar (%)
Diabetes - People taking insulin (%)
Diet Behavior & Nutrition - Diet health (%)
Diet Behavior & Nutrition - Milk product consumption (# of products/month)
Diet Behavior & Nutrition - Meals not home prepared (#/week)
Diet Behavior & Nutrition - Meals from fast food or pizza place (#/week)
Diet Behavior & Nutrition - Ready-to-eat foods (#/month)
Diet Behavior & Nutrition - Frozen meals/pizza (#/month)
Drug Use - People that ever used marijuana or hashish (%)
Drug Use - Ever used hard drugs (%)
Drug Use - Ever used any form of cocaine (%)
Drug Use - Ever used heroin (%)
Drug Use - Ever used methamphetamine (%)
Health Insurance - People covered by health insurance (%)
Kidney Conditions-Urology - Avg. # of times urinating at night
Medical Conditions - People with asthma (%)
Medical Conditions - People with anemia (%)
Medical Conditions - People with psoriasis (%)
Medical Conditions - People with overweight (%)
Medical Conditions - Elderly people having difficulties in thinking or remembering (%)
Medical Conditions - People who ever received blood transfusion (%)
Medical Conditions - People having trouble seeing even with glass/contacts (%)
Medical Conditions - People with arthritis (%)
Medical Conditions - People with gout (%)
Medical Conditions - People with congestive heart failure (%)
Medical Conditions - People with coronary heart disease (%)
Medical Conditions - People with angina pectoris (%)
Medical Conditions - People who ever had heart attack (%)
Medical Conditions - People who ever had stroke (%)
Medical Conditions - People with emphysema (%)
Medical Conditions - People with thyroid problem (%)
Medical Conditions - People with chronic bronchitis (%)
Medical Conditions - People with any liver condition (%)
Medical Conditions - People who ever had cancer or malignancy (%)
Mental Health - People who have little interest in doing things (%)
Mental Health - People feeling down, depressed, or hopeless (%)
Mental Health - People who have trouble sleeping or sleeping too much (%)
Mental Health - People feeling tired or having little energy (%)
Mental Health - People with poor appetite or overeating (%)
Mental Health - People feeling bad about themself (%)
Mental Health - People who have trouble concentrating on things (%)
Mental Health - People moving or speaking slowly or too fast (%)
Mental Health - People having thoughts they would be better off dead (%)
Oral Health - Average years since last visit a dentist
Oral Health - People embarrassed because of mouth (%)
Oral Health - People with gum disease (%)
Oral Health - General health of teeth and gums (%)
Oral Health - Average days a week using dental floss/device
Oral Health - Average days a week using mouthwash for dental problem
Oral Health - Average number of teeth
Pesticide Use - Households using pesticides to control insects (%)
Pesticide Use - Households using pesticides to kill weeds (%)
Physical Activity - People doing vigorous-intensity work activities (%)
Physical Activity - People doing moderate-intensity work activities (%)
Physical Activity - People walking or bicycling (%)
Physical Activity - People doing vigorous-intensity recreational activities (%)
Physical Activity - People doing moderate-intensity recreational activities (%)
Physical Activity - Average hours a day doing sedentary activities
Physical Activity - Average hours a day watching TV or videos
Physical Activity - Average hours a day using computer
Physical Functioning - People having limitations keeping them from working (%)
Physical Functioning - People limited in amount of work they can do (%)
Physical Functioning - People that need special equipment to walk (%)
Physical Functioning - People experiencing confusion/memory problems (%)
Physical Functioning - People requiring special healthcare equipment (%)
Prescription Medications - Average number of prescription medicines taking
Preventive Aspirin Use - Adults 40+ taking low-dose aspirin (%)
Reproductive Health - Vaginal deliveries (%)
Reproductive Health - Cesarean deliveries (%)
Reproductive Health - Deliveries resulted in a live birth (%)
Reproductive Health - Pregnancies resulted in a delivery (%)
Reproductive Health - Women breastfeeding newborns (%)
Reproductive Health - Women that had a hysterectomy (%)
Reproductive Health - Women that had both ovaries removed (%)
Reproductive Health - Women that have ever taken birth control pills (%)
Reproductive Health - Women taking birth control pills (%)
Reproductive Health - Women that have ever used Depo-Provera or injectables (%)
Reproductive Health - Women that have ever used female hormones (%)
Sexual Behavior - People 18+ that ever had sex (vaginal, anal, or oral) (%)
Sexual Behavior - Males 18+ that ever had vaginal sex with a woman (%)
Sexual Behavior - Males 18+ that ever performed oral sex on a woman (%)
Sexual Behavior - Males 18+ that ever had anal sex with a woman (%)
Sexual Behavior - Males 18+ that ever had any sex with a man (%)
Sexual Behavior - Females 18+ that ever had vaginal sex with a man (%)
Sexual Behavior - Females 18+ that ever performed oral sex on a man (%)
Sexual Behavior - Females 18+ that ever had anal sex with a man (%)
Sexual Behavior - Females 18+ that ever had any kind of sex with a woman (%)
Sexual Behavior - Average age people first had sex
Sexual Behavior - Average number of female sex partners in lifetime (males 18+)
Sexual Behavior - Average number of female vaginal sex partners in lifetime (males 18+)
Sexual Behavior - Average age people first performed oral sex on a woman (18+)
Sexual Behavior - Average number of woman performed oral sex on in lifetime (18+)
Sexual Behavior - Average number of male sex partners in lifetime (males 18+)
Sexual Behavior - Average number of male anal sex partners in lifetime (males 18+)
Sexual Behavior - Average age people first performed oral sex on a man (18+)
Sexual Behavior - Average number of male oral sex partners in lifetime (18+)
Sexual Behavior - People using protection when performing oral sex (%)
Sexual Behavior - Average number of times people have vaginal or anal sex a year
Sexual Behavior - People having sex without condom (%)
Sexual Behavior - Average number of male sex partners in lifetime (females 18+)
Sexual Behavior - Average number of male vaginal sex partners in lifetime (females 18+)
Sexual Behavior - Average number of female sex partners in lifetime (females 18+)
Sexual Behavior - Circumcised males 18+ (%)
Sleep Disorders - Average hours sleeping at night
Sleep Disorders - People that has trouble sleeping (%)
Smoking-Cigarette Use - People smoking cigarettes (%)
Taste & Smell - People 40+ having problems with smell (%)
Taste & Smell - People 40+ having problems with taste (%)
Taste & Smell - People 40+ that ever had wisdom teeth removed (%)
Taste & Smell - People 40+ that ever had tonsils teeth removed (%)
Taste & Smell - People 40+ that ever had a loss of consciousness because of a head injury (%)
Taste & Smell - People 40+ that ever had a broken nose or other serious injury to face or skull (%)
Taste & Smell - People 40+ that ever had two or more sinus infections (%)
Weight - Average height (inches)
Weight - Average weight (pounds)
Weight - Average BMI
Weight - People that are obese (%)
Weight - People that ever were obese (%)
Weight - People trying to lose weight (%)