The future of computer-driven cars and deliverbots
It began with reports on a job ad at Tesla for an ADAS engineer to work on self-driving systems, and now there is a declaration from Elon Musk of a desire for a semi-automated car in three years. Musk says he expect the car to be "90% automated" which I will interpret as meaning it does highway driving.
Videos have been released on some real-world tests of robocars. The most notable is from Mercedes.
As a nice reflection on the past, Mercedes drove the 100km route done by Bertha Benz in the first automotive road trip 125 years ago. You will also find that this alternate video is much better at talking about the technical details of the vehicle.
Recent news has been big. First, Nissan announced it would sell robocars by 2020 and now today Daimler has announced the same. (Note that the 2014 S-class is the first car with a self-driving feature, a "you must still pay attention" traffic jam autopilot.)
Probably the most expensive add-on that people get in their cars today is the stereo. Long ago, cars often came without stereos and there was a major aftermarket. The aftermarket is still here but most people elect for factory stereos which fit in seamlessly with the car and often cost a huge amount of money.
Frequently, in reporting on robocars, it is often cited that one of their key benefits will be the way they enable car sharing, greatly reducing the number of cars that need to exist to serve the population. It is sometimes predicted that we'll need to make fewer cars, which is good for the environment.
It is indeed true -- robotaxi service, with cars that deliver themselves and drop you off, does greatly enable car sharing. But from the standpoint of modern car sharing, it may enable it too well, and we may end up having to manufacture more cars, not fewer.
Today's car sharing companies report statistics that they replace around 13 privately owned cars for every car in the carsharing fleet. Some suggest it's even as high as 20.
This number is impossible for average drivers, however. The average car is driven 12,000 miles/year. To replace 13 average cars would require a vehicle that was actively driving, not just signed out, 11 hours/day and each vehicle would wear out in 1-2 years.
Three things are happening.
The "problem" with robocars is that they're not going to be worse than having a private car. In many ways they will be better. So they will do very little of the discouragement of car use caused by present day carshare models. The "dark secret" of carsharing is that it succeeds so well at replacing cars because of its flaws, not just its virtues.
Robotic taxis can be priced incrementally, with per-mile or per-hour costs, and these costs will initially be similar to the mostly unperceived per-mile or per-hour costs of private car ownership, though they will get cheaper in the future. This revelation of the price will discourage some driving, though robotaxi companies, hoping to encourage more business, will likely create pricing models which match the way people pay for cars (such as monthly lease fees with only gasoline costs during use) to get people to use more of the product.
There is an even stronger factor when it comes to robotaxis. A hard-working robotaxi will indeed serve many people, and as such it will put on a lot of miles every year. It will thus wear out much faster, and be taken out of service within 4-5 years. This is the case with today's human driven taxicabs, which travel about 60,000 miles/year in places like New York.
The lifetime of a robotaxi will be measured almost exclusively in miles or engine-hours, not years. The more miles people travel, the more vehicles will need to be built. It doesn't matter how much people are sharing them.
The core formula is simple.
Cars made = Vehicle Miles Travelled (VMT) / Car lifetime in miles
The amount of sharing of vehicles is not a factor in this equation, other than when it affects VMT.
Today the average car lasts 200,000 miles in California. To be clear, if you have 8,000 customers and they will travel two billion miles in 20 years (that's the average) then they are going to need 8,000 cars over those years. It almost doesn't matter if you serve them with their own private car, and it lasts all 20 years, or if you get 2,000 cars and they serve 4 people each on average and wear out after 5 years.
Our technology is having trouble with settling on a name. That's OK before it's mainstream but will eventually present a problem. When people in the field are polled on what name they like, there is no clear winner. Let's look at some of the commonly used candidates:
Recently, this has become the most common term used in the press. There is a "Driverless Car Summit" and the Wikipedia page has used that name for some time.
In spite of this popularity, the term is very rarely used by people actually building the vehicles. Attendees at the "Driverless Car Summit" when polled all said they dislike it. Until recently, the most common news story about a driverless car would say, "then the driverless car rolled down the hill and careened into the other lane, hitting a tree."
My personal view is that this term is like "horseless carriage." Long ago the most remarkable thing about the automobile was that it had no horse. Here it's the lack of driver (or at least lack of action by the driver.) Of course, these cars have something driving them, but it's a computer system. While this term is most popular, I am confident it will fade away and seem quaint, like horseless carriage did.
Alain Kornhauser has proposed that Driverless Car refer only to cars capable of fully-unmanned operation, and those that need an occasional human be called self-driving. As yet this has not caught on.
This term is popular among developers of the cars. Its main problem is that it's too long to be a popular term. The acronym SDC is a reasonable one. In web hits, this is tied with Driverless Cars, but falls behind that name in searches and news mentions.
This term was most popular in the early years, though it is most commonly found in research environments and in the military sphere. In the military they also use "unmanned ground vehicle" -- another term too unwieldy for the public --though they usually refer to remote controlled vehicles, not self-driving ones.
Annoyingly, the acronym "AV" has another popular meaning today. Most of the terms here are too long to become common use terms, and so will be turned into acronyms or shortened, but this one has an acronym problem.
This term has minor traction, almost entirely due to the efforts of Steve Shladover of UC Berkeley. In his view, the word autonomous is entirely misused here and the correct term is automated. Roboticists tend to differ -- they have been using "autonomous" to mean "not remote controlled" for many years. There are two meanings of autonomous in common use. One is to be independent of direct control (which these cars are) and the other one, "self-governing" is the one Steve has the issue with. As a member of the program committee for TRB's conference on the area, he has pushed the "automated" name and given it some traction.
Unfortunately, to roboticists, "automated" is how you describe a dishwasher or a pick-and-place robot; it's a lower level of capability. I don't expect this terminology to gain traction among them.
For some time, HAV was the term used in NHTSA proposed regulations. It never caught on. The new regulations use ADS, it is unclear if this will catch on -- the acronym of course is an English word so it can't easily be searched for.
I selected this term for these pages for a variety of reasons. It was already in modest use thanks to a Science Channel documentary on the DARPA challenge called "robocars."
However, it is doing poorly in popularity and only has about 21,000 web pages using it, so I may need to switch away from it as well if a better term appears. Today it reminds people too much of robotics, and the trend is to move away from that association.
On the other hand, no other term satisfies the criteria above, which I think are very good criteria.
I'm often asked whether robocars will keep themselves to the speed limit and refuse to go faster, unlike cruise controls which let the driver set the automated speed. In many countries, the majority of human drivers routinely exceed the limit which could present issues. On the other hand, vendors may fear liability over programming their cars to do this, or even programming them to allow their human overlord to demand it.
A nice result for Vislab of Parma, Italy. They have completed a trial run on public roads using their mostly vision-based driving system. You can see a report on the Vislab site for full details. The run included urban, rural and highway streets. While the press release tries to make a big point that they did this with a vacant driver's seat, the video shows a safety driver in that seat at all times, so it's not clear how the test was done.
This week I attended the Transportation Research Board Workshop on Automated Road Vehicles which has an academic focus but still has lots of industry-related topics. TRB's main goal is to figure out what various academics should be researching or getting grants for, but this has become the "other" conference on robocars. Here are my notes from it.
Bryant Walker Smith told of an interesting court case in Ontario, where a truck driver sued over the speed limiter put in his truck and the court ruled that the enforced speed limiter was a violation of fundamental rights of choice. One wonders if a similar ruling would occur in the USA. I have an article pending on what the speed limit should be for robocars with some interesting math.
Cliff Nass expressed skepticism over the ability to have easy handover from self-driving to human driving. This transfer is a "valence transfer" and if the person is watching a movie in a tense scene that makes her sad or angry, she will begin driving with that emotional state. More than one legal scholar felt that quickly passing control to a human in an urgent situation would not absolve the system of any liability under the law, and it could be a dangerous thing. Nass is still optimistic -- he notes that in spite of often expressed fears, no whole field has been destroyed because it caused a single fatality.
There were reports on efforts in Europe and Japan. In both cases, government involvement is quite high, with large budgets. On the other hand, this seems to have led in most cases to more impractical research that suggests vehicles are 1-2 decades away.
Volkswagen described a couple of interesting projects. One was the eT! -- a small van that would follow a postman around as he did his rounds. The van had the mail, and the postman did not drive it but rather had it follow him so he could go and get new stacks of mail to deliver. I want one of those in the airport to have my luggage follow me around.
VW has plans for a "traffic jam pilot" which is more than the traffic jam assist products we've seen. This product would truly self-drive at low speeds in highway traffic jams, allowing the user to not pay attention to the road, and thus get work done. In this case, the car would give 10 seconds warning that the driver must take control again. VW eventually wants to have a full vehicle which gives you a 10 minute warning but that's some distance away.
The Vislab team from Parma, Italy, which you may remember did the intermittently autonomous drive from Italy to Shanghai a couple of years ago is back with a new vehicle, dubbed BRAiVE which tomorrow begins testing on real urban streets.
The AUVSI summit on "driverless" cars last week contained 2 days of nothing but robocars, and I reported on issues regarding Google and policy in part 1.
As noted, NHTSA released their proposal for how they want to regulate such vehicles. In it, they defined levels 0 through 4. Level 2 is what I (and GM) have been calling "super cruise" -- a car which can do limited self driving but requires constant human supervision. Level 3 is a car which can drive without constant attention, but might need to call upon a human driver (non-urgently) to handle certain streets and situations. Level 4 is the fully automatic robocar.
Level 2 is coming this year in traffic jams in the Mercedes S and the BMW 5, and soon after from Audi and Volvo. GM had announced super cruise for the 2015 Cadillac line but has pulled back and delayed that to later in the decade. Nonetheless the presentation from GM's Jeremy Salinger brought home many of the issues with this level.
GM has done a number of user studies in their super cruise cars on the test track. And they learned that the test subjects very quickly did all sorts of dangerous things, definitely not paying attention to the road. They were not told what they couldn't do, but subjects immediately began texting, fiddling around in the back and even reading (!) while the experimenters looked on with a bit of fear. No big surprise, as people even text today without automatic steering, but the experimental results were still striking.
Because of that GM is planning what they call "countermeasures" to make sure this doesn't happen. They did not want to say what countermeasures they liked, but in the past, we have seen proposals such as:
The problem is these countermeasures can also get annoying, reducing the value of the system. It may be the lack of ability to design a good countermeasure is what has delayed GM's release of the product. There is a policy argument coming up about whether level 2 might be more dangerous than the harder levels 3 and above, because there is more to go wrong with the human driver and the switches between human and machine driving. (Level 4 has no such switches, level 3 has switches with lots of warning.)
On the plus side, studies on existing accidents show that accident-avoidance systems, even just forward collision avoidance, have an easy potential for huge benefits. Already we're seeing a 15% reduction in accidents in some studies just from FCA, but studies show that in 33% of accidents, the brakes were never applied at all, and only in just 1% of accidents were the brakes applied with full force! As such, systems which press the brakes and press them hard when they detect the imminent accident may not avoid the accident entirely, but they will highly reduce the severity of a lot of accidents.
I was sadly informed this morning by Ann Lowson that transportation pioneer Martin Lowson has fallen to a stroke this weekend.
Martin had an amazing career but it was more amazing that he was still actively engaged at age 75. We shared a panel last month in Phoenix at the people-mover conference and continued our vigourous debate on the merits of cars like his on closed guideways compared to robocars.
This week I attended AUVSI's "Driverless Car Summit" in Detroit. This year's event, the third, featured a bigger crowd and a decent program, and will generate more than one post.
I would hardly call it a theme, but two speakers expressed fairly negative comments about Google's efforts, raising some interesting subjects. (As an important disclaimer, the Google car team is a consulting client of mine, but I am not their spokesman and the views here do not represent Google's views.)
The keynote address came from Bryan Reimer of MIT, and generated the most press coverage and debate, though the recent NHTSA guidelines also created a stir.
Reimer's main concern: Google is testing on public streets instead of a test track. As such it is taking the risk of a fatal accident, from which the blowback could be so large it stifles the field for many years. Car companies historically have done extensive test track work before going out on real streets. I viewed Reimer's call as one for near perfection before there is public deployment.
There is a U-shaped curve of risk here. Indeed, a vendor who takes too many risks may cause an accident that generates enough backlash to slow down the field, and thus delay not just their own efforts, but an important life-saving technology. On the other hand, a quest for perfection attempts what seems today to be impossible, and as such also delays deployment for many years, while carnage continues on the roads.
As such there is a "Goldilocks" point in the middle, with the right amount of risk to maximize the widescale deployment of robocars that drive more safely than people. And there can be legitimate argument about where that is.
Reimer also expressed concern that as automation increases, human skill decreases, and so you actually start needing more explicit training, not less. He is as such concerned with the efforts to make what NHTSA calls "level 2" systems (hands off, but eyes on the road) as well as "level 3" systems (eyes off the road but you may be called upon to drive in certain situations.) He fears that it could be dangerous to hand driving off to people who now don't do it very often, and that stories from aviation bear this out. This is a valid point, and in a later post I will discuss the risks of the level-2 "super cruise" systems.
Maarten Sierhuis, who is running Nissan's new research lab (where I will be giving a talk on the future of robocars this Thursday, by the way) issued immediate disagreement on the question of test tracks. His background at NASA has taught him that you "fly where you train and train where you fly" -- there is no substitute for real world testing if you want to build a safe product. One must suspect Google agrees -- it's not as if they couldn't afford a test track. The various automakers are also all doing public road testing, though not as much as Google. Jan Becker of Bosch reported their vehicle had only done "thousands" of public miles. (Google reported a 500,000 mile count earlier this year.)
Heinz Mattern, research and development manager for Valeo (which is a leading maker of self-parking systems) went even further, starting off his talk by declaring that "Google is the enemy." When asked about this, he did not want to go much further but asked, "why aren't they here? (at the conference)" There was one Google team employee at the conference, but not speaking, and I'm not am employee or rep. It was pointed out that Chris Urmson, chief engineer of the Google team, had spoken at the prior conferences.
I'm off for AUVSI's "Driverless Car Summit" in Detroit. I attended and wrote about last year's summit, which, in spite of being put on by a group that comes out of the military unmanned vehicle space, was very much about the civilian technology. (As I've said before, I have a dislike for the term "driverless car" and in fact at the summit last year, the audience expressed the same dislike but could not figure out what the best replacement term was.)
There have been a wide variety of announcements of late giving the impression that somebody has "solved the problem" of making a robocar affordable, usually with camera systems. It's widely reported how the Velodyne LIDAR used by all the advanced robocar projects (including Google, Toyota and many academic labs) costs $75,000 (or about $30,000 in a smaller model) and since that's more than the cost of the car, it is implied that is a dead-end approach.
Today the National Highway Transportation Safety Agency (NHTSA) released their plan on regulation of automated vehicles, a 14 page document on various elements of the technology and how it might be regulated.
It seems that Better place has gone to... a better place to put it ironically. I'm not greatly surprised, I expressed my skepticism last year.
But I do believe in the idea of the self-driving electric taxi as the best answer for our future urban transportation. So how do you make it happen?
Two interesting pieces today.
First is a report on the Volkswagen XL1 the car that gets 100km per litre, or 260mg.
As you read the description, you would be likely to ask, who would buy a car like this, which takes so long to get to highway speed and skimps on anything that would add weight?
Hints from the release this week of the 2014 Mercedes S-Class suggest that it doesn't have the promised traffic jam assist. Update: Other reports suggest it might still be present.
Some interesting robocar surveys are out.
Today, a survey conducted by Cisco showed very high numbers of people saying, "yes, they would ride in a robocar." 57% said yes globally, with 60% in the USA and an incredible 95% in Brazil. (Perhaps it is the trully horrible traffic in the big cities of Brazil which drives this number.) A bit more surprising was the 28% number for Japan.