Elon Musk Slows Tesla Deliveries On 'Dangerous' Trucks ( 22

An anonymous reader quotes Electrek: Tesla is always very busy in Norway, its biggest market per capita, but it has recently been difficult for the automaker to deliver its vehicles as its shipments keep being taken off the road for using transporters with "dangerous" trucks that do not conform to the rules. The California-based automaker generally ships its vehicles to Norway through the port of Drammen, but it is experiencing capacity issues so they are instead going through Gothenburg port and having to use more trucks to move the cars to its stores and service centers.

According to several media reports in Norway, over half a dozen of those trucks have been stopped by the authorities for a variety of safety reasons during inspections and one of the trucks that wasn't stopped ended up in an accident. Two Model S vehicles were crushed on the trailer involved in the accident. Tesla says that it is having difficulties finding competent transporters that comply to Norway's road requirements. On top of the safety issues, Tesla is also using transporters operating Euro 3 class trucks, which are more polluting.

Elon Musk tweeted in response to the article that "I have just asked our team to slow down deliveries.

"It is clear that we are exceeding the local logistics capacity due to batch build and delivery. Customer happiness & safety matter more than a few extra cars this quarter."

Uber's Self-Driving Cars Were Struggling Before Arizona Crash ( 210

An anonymous reader quotes a report from The New York Times: Uber's robotic vehicle project was not living up to expectations months before a self-driving car operated by the company struck and killed a woman in Tempe, Ariz. The cars were having trouble driving through construction zones and next to tall vehicles, like big rigs. And Uber's human drivers had to intervene far more frequently than the drivers of competing autonomous car projects. Waymo, formerly the self-driving car project of Google, said that in tests on roads in California last year, its cars went an average of nearly 5,600 miles before the driver had to take control from the computer to steer out of trouble. As of March, Uber was struggling to meet its target of 13 miles per "intervention" in Arizona (Warning: source may be paywalled; alternative source), according to 100 pages of company documents obtained by The New York Times and two people familiar with the company's operations in the Phoenix area but not permitted to speak publicly about it. Yet Uber's test drivers were being asked to do more -- going on solo runs when they had worked in pairs. And there also was pressure to live up to a goal to offer a driverless car service by the end of the year and to impress top executives.

Ask Slashdot: Is Beaming Down In Star Trek a Death Sentence? 469

Artem Tashkinov writes: Some time ago, Ars Technica ran a monumental article on beaming of consciousness in Star Trek and its implications, and more importantly, whether it's plausible to achieve that without killing a person in the process.

It seems possible in the Star Trek universe. However, currently physicists find the idea absurd and unreal because there's no way you can transport matter and its quantum state without first destroying it and then recreating it perfectly, due to Heisenberg's Uncertainty Principle. The biggest conundrum of all is the fact that pretty much everyone understands that consciousness is a physical state of the brain, which features continuity as its primary principle; yet it surely seems like copying the said state produces a new person altogether, which brings up the problem of consciousness becoming local to one's skull and inseparable from gray matter. This idea sounds a bit unscientific because it introduces the notion that there's something about our brain which cannot be described in terms of physics, almost like soul.

This also brings another very difficult question: how do we know if we are the same person when we wake up in the morning or after we were put under during general anesthesia? What are your thoughts on the topic?

Experts Say Video of Uber's Self-Driving Car Killing a Pedestrian Suggests Its Technology May Have Failed ( 322

Ever since the Tempe police released a video of Uber's self-driving car hitting and killing a pedestrian, experts have been racing to analyze the footage and determine what exactly went wrong. (If you haven't watched the video, you can do so here. Warning: it's disturbing, though the actual impact is removed.) In a blog post, software architect and entrepreneur Brad Templeton highlights some of the big issues with the video:
1. On this empty road, the LIDAR is very capable of detecting her. If it was operating, there is no way that it did not detect her 3 to 4 seconds before the impact, if not earlier. She would have come into range just over 5 seconds before impact.
2.On the dash-cam style video, we only see her 1.5 seconds before impact. However, the human eye and quality cameras have a much better dynamic range than this video, and should have also been able to see her even before 5 seconds. From just the dash-cam video, no human could brake in time with just 1.5 seconds warning. The best humans react in just under a second, many take 1.5 to 2.5 seconds.
3. The human safety driver did not see her because she was not looking at the road. She seems to spend most of the time before the accident looking down to her right, in a style that suggests looking at a phone.
4.While a basic radar which filters out objects which are not moving towards the car would not necessarily see her, a more advanced radar also should have detected her and her bicycle (though triggered no braking) as soon as she entered the lane to the left, probably 4 seconds before impact at least. Braking could trigger 2 seconds before, in theory enough time.)

To be clear, while the car had the right-of-way and the victim was clearly unwise to cross there, especially without checking regularly in the direction of traffic, this is a situation where any properly operating robocar following "good practices," let alone "best practices," should have avoided the accident regardless of pedestrian error. That would not be true if the pedestrian were crossing the other way, moving immediately into the right lane from the right sidewalk. In that case no technique could have avoided the event.
The overall consensus among experts is that one or several pieces of the driverless system may have failed, from the LIDAR system to the logic system that's supposed to identify road objects, to the communications channels that are supposed to apply the brakes, or the car's automatic braking system itself. According to Los Angeles Times, "Driverless car experts from law and academia called on Uber to release technical details of the accident so objective researchers can help figure out what went wrong and relay their findings to other driverless system makers and to the public."

Human Driver Could Have Avoided Fatal Uber Crash, Experts Say ( 404

An anonymous reader shares a report: The pedestrian killed Sunday by a self-driving Uber SUV had crossed at least one open lane of road before being hit, according to a video of the crash that raises new questions about autonomous-vehicle technology. Forensic crash analysts who reviewed the video said a human driver could have responded more quickly to the situation, potentially saving the life of the victim, 49-year-old Elaine Herzberg. Other experts said Uber's self-driving sensors should have detected the pedestrian as she walked a bicycle across the open road at 10 p.m., despite the dark conditions. Herzberg's death is the first major test of a nascent autonomous vehicle industry that has presented the technology as safer than humans who often get distracted while driving. For human driving in the U.S., there's roughly one death every 86 million miles, while autonomous vehicles have driven no more than 15 to 20 million miles in the country so far, according to Morgan Stanley analysts. "As an ever greater number of autonomous vehicles drive ever an ever greater number of miles, investors must contemplate a legal and ethical landscape that may be difficult to predict," the analysts wrote in a research note following the Sunday collision. "The stock market is likely too aggressive on the pace of adoption."

BMW Says Electric Car Mass Production Not Viable Until 2020 ( 141

BMW will not mass produce electric cars until 2020 because its current technology is not profitable enough to scale up for volume production, the chief executive said on Thursday. From a report: Munich-based BMW unveiled its first battery electric car in 2013, and has been working on different generations of battery, software and electric motor technology since then. The i8 Roadster model, due to hit showrooms in May, is equipped with what BMW calls its fourth-generation electric drive technology. Advances in battery raw materials and chemistry has increased its range by 40 percent over the previous version, BMW said. BMW is working to make electric car technology more modular and scalable to make mass production commercially viable. "We wanted to wait for the fifth generation to be much more cost competitive," Chief Executive Harald Krueger told analysts in Munich. "We do not want to scale up with the fourth generation."

Police Release First Video From Inside the Uber Self-Driving Car That Killed a Pedestrian ( 691

An anonymous reader quotes a report from Recode: Three days after an Uber self-driving vehicle fatally crashed into a pedestrian in Tempe, Ariz., police have released video footage of what the vehicle saw with its cameras moments before running the woman over, and what happened inside the vehicle, where an operator was at the wheel. The video footage does not conclusively show who is at fault. However, it seems to confirm initial reports from the Tempe police that Herzberg appeared suddenly. It also showed the vehicle operator behind the wheel intermittently looking down while the car was driving itself.

SpaceX Indicates It Will Manufacture the BFR Rocket In Los Angeles ( 92

A new document from the Port of Los Angeles indicates that the company is moving ahead with plans to build a "state-of-the-art" industrial manufacturing facility near Long Beach, about 20 miles south of its headquarters. It's possible that the facility may be used to manufacture the company's Big Falcon Rocket, or BFR vehicle, which is expected to measure 106 meters tall and nine meters wide. The Long Beach location makes sense since the BFR will be so large that it needs to be built near water where it can be transported. Ars Technica reports: The company seeks to use an 18-acre site at Berth 240 in the port "for the construction and operation of a facility to manufacture large commercial transportation vessels." Operations at the site would include "research and development of transportation vessels and would likely include general manufacturing procedures such as welding, composite curing, cleaning, painting, and assembly operations." Completed vessels would need to be transported by water due to their size, the document states, as a means to explain why the company needs a facility immediately adjacent to the water. The document also noted that the 10-year lease, with up to two 10-year renewals, would "accommodate recovery operations undertaken by Space Exploration Technologies to bring to shore vehicles returning from space that are retrieved by an autonomous drone ship offshore." This would be for first-stage recoveries of the Falcon 9 rocket and probably payload fairings as well.

Police Chief: Uber Self-Driving Car 'Likely' Not At Fault In Fatal Crash ( 523

An anonymous reader quotes a report from Ars Technica: The chief of the Tempe Police has told the San Francisco Chronicle that Uber is likely not responsible for the Sunday evening crash that killed 49-year-old pedestrian Elaine Herzberg. "I suspect preliminarily it appears that the Uber would likely not be at fault in this accident," said Chief Sylvia Moir. Herzberg was "pushing a bicycle laden with plastic shopping bags," according to the Chronicle's Carolyn Said, when she "abruptly walked from a center median into a lane of traffic." After viewing video captured by the Uber vehicle, Moir concluded that "it's very clear it would have been difficult to avoid this collision in any kind of mode (autonomous or human-driven) based on how she came from the shadows right into the roadway." Moir added that "it is dangerous to cross roadways in the evening hour when well-illuminated, managed crosswalks are available." The police said that the vehicle was traveling 38 miles per hour in a 35 mile-per-hour zone, according to the Chronicle -- though a Google Street View shot of the roadway taken last July shows a speed limit of 45 miles per hour along that stretch of road.

How a Virus Spreads Through an Airplane Cabin ( 76

An anonymous reader shares a report: Traveling by plane greatly increases our chances of getting sick, or so many of us are wont to believe. To be fair, it's not uncommon to come down with a nasty illness after we return from a vacation or business trip. But is flying the culprit? The latest research suggests the answer is no -- but much of it depends on where we sit. New research published today in Proceedings of the National Academy of Sciences suggests that airline passengers infected with influenza -- a disease that spreads through the air -- aren't likely to infect other passengers who sit more than two seats to the left or right, or more than two seats in front or back. In other words, your chances of contracting the flu from an infected passenger are slim -- unless you're sitting within about three feet (one meter) of them. Given that three billion of us fly annually, combined with the popular conception that we often contract diseases inflight, it's surprising to learn that very few studies have looked into this issue in detail.

Self-Driving Uber Car Kills Arizona Woman in First Fatal Crash Involving Pedestrian ( 951

Joe_Dragon writes: Last night a woman was struck by an autonomous Uber vehicle in Tempe, Arizona. She later died of her injuries in the hospital. The deadly collision -- reported by ABC15 and later confirmed to Gizmodo by Uber and Tempe police -- took place around 10PM at the intersection Mill Avenue and Curry Road. Autonomous vehicle developers often test drive at night, during storms, and other challenging conditions to help their vehicles learn to navigate in a variety of environments.

According to Tempe PD, the car was in autonomous mode at the time of the incident, with a vehicle operator sitting behind the wheel. A police spokesperson added in a statement that the woman's 'next of kin has not been notified yet so her name is not being released at this time. Uber is assisting and this is still an active investigation.' The woman was crossing the street outside a crosswalk when she was hit, the spokesperson said.
Update: Uber says it is suspending self-driving car tests in all North American cities after a fatal accident.

Mapping Apps Like Waze, Google Maps, and Apple Maps May Make Traffic Conditions Worse in Some Areas, New Research Suggests ( 282

From an Atlantic story, originally titled "The Perfect Selfishness of Mapping Apps": In the pre-mobile-app days, drivers' selfishness was limited by their knowledge of the road network. In those conditions, both simulation and real-world experience showed that most people stuck to the freeways and arterial roads. Sure, there were always people who knew the crazy, back-road route, but the bulk of people just stuck to the routes that transportation planners had designated as the preferred way to get from A to B. Now, however, a new information layer is destroying the nudging infrastructure that traffic planners built into cities. Commuters armed with mobile mapping apps, route-following Lyft and Uber drivers, and software-optimized truckers can all act with a more perfect selfishness.

In some happy universe, this would lead to socially optimal outcomes, too. But a new body of research at the University of California's Institute of Transportation Studies suggests that the reality is far more complicated. In some scenarios, traffic-beating apps might work for an individual, but make congestion worse overall. And autonomous vehicles, touted as an answer to traffic-y streets, could deepen the problem. "This problem has been vastly overlooked," Alexandre Bayen, the director of UC Berkeley's Institute of Transportation Studies, told me. "It is just the beginning of something that is gonna be much worse." Bayen and a team of researchers presented their work earlier this year at the Transportation Research Board's annual meeting and at the Cal Future conference at Berkeley in May 2017. They've also published work examining the negative externalities of high levels of automatic routing.


The Road to Deep Decarbonization ( 160

Michael Liebreich, writing for Bloomberg New Energy Finance: In the past fifteen years we have witnessed several pivotal points along the route towards clean energy and transport. In 2004, renewables were poised for explosive growth; in 2008, the world's power system started to go digital; in 2012, it became clear that EVs would take over light ground transportation. Today I believe it is the turn of sectors that have resisted change so far -- heavy ground transportation, industry, chemicals, heat, aviation and shipping, agriculture. One after the other, or more likely as a tightly-coupled system, they are all going to go clean during the coming decades.

Astonishing progress is being made on super-efficient industrial processes, connected and shared vehicles, electrification of air transport, precision agriculture, food science, synthetic fuels, industrial biochemistry, new materials like graphene and aerogels, energy and infrastructure blockchain, additive manufacturing, zero-carbon building materials, small nuclear fusion, and so many other areas. These technologies may not be cost-competitive today, but they all benefit from the same fearsome learning curves as we have seen in wind, solar and batteries. In addition, in the same way that ubiquitous sensors, cloud and edge-of-grid computing, big data and machine learning have enabled the transformation of our electrical system, they will unlock sweeping changes to the rest of our energy, transportation and industrial sectors.

United States

The Ordinary Engineering Behind the Horrifying Florida Bridge Collapse ( 272

An anonymous reader quotes a report from WIRED: The people of Sweetwater, Florida were supposed to wait until early 2019 for the Florida International University-Sweetwater University City Bridge to open. Instead, they will wait about that long for an official assessment from the National Transportation Safety Board of why it collapsed just five days after its installation, killing at least six people. In the immediate aftermath of the disaster, many queries have centered on the unconventional technique used to build the bridge, something called Accelerated Bridge Construction, or ABC. But ABC is more complicated than its acronym suggests -- and it's hardly brand new. ABC refers to dozens of construction methods, but at its core, it's about drastically reducing on-site construction time. Mostly, that relies on pre-fabricating things like concrete decks, abutments, walls, barriers, and concrete topped steel girders, and hauling them to the work site. There, cranes or specialized vehicles known as Self-Propelled Modular Transporter install them. A video posted online by Florida International University, which helped fund the bridge connects to its campus, showed an SPMT lifting and then lowering the span into place.

In a now-deleted press release, the university called the "largest pedestrian bridge moved via SPMT in U.S. history," but that doesn't seem to mean much, engineering-wise. SPMTs have been around since the 1970s, and have moved much heavier loads. In 2017, workers used a 600-axle SPMT to salvage the 17,000 ton ferry that sank off the coast of South Korea in 2014. The ABC technique is much more expensive than building things in place, but cities and places like FIU like it for a specific reason: Because most of the work happens far away, traffic goes mostly unperturbed. When years- or months-long construction projects can have serious effects on businesses and homes, governments might make up the money in the long run. Workers installed this collapsed span in just a few hours. These accelerated techniques are also much safer for workers, who do most their work well away from active roads.
The report goes on to note that the bridge collapse is still under investigation and the search for a culprit is ongoing. "The answers could run the gamut, from design flaws to fabrication flubs to installation issues," reports WIRED. As of publication, The Washington Post is reporting that an engineer called the state to report cracking two days before its collapse.

Ford's Badly Needed Plan To Catch Up On Hybrid, Electric Cars ( 181

Ford supposedly has a plan to adapt to the changing world of transportation. The company recently announced that it's "going all-in on hybrids," readying six new battery electric vehicles by 2022, with the first due in 2020, and adding more performance versions of its SUV line up. "Additionally, by the end of 2019, every new Ford will have 4G LTE connectivity, and the company is developing a new cloud platform that will deliver over-the-air updates," reports Ars Technica. From the report: New hybrids: "Hybrids for years have been mostly niche products but are now on the cusp of a mainstream breakout," said Jim Farley, Ford president of global markets. "The valuable capability they offer -- plus fuel efficiency -- is why we're going to offer hybrid variants of our most popular and high-volume vehicles, allowing our loyal, passionate customers to become advocates for the technology." So America's best-selling truck (the F-150) will get the ability to act as a mobile generator, something that should come in handy on job sites. Meanwhile, the Mustang will have performance to match the 5.0L V8 version but with more low-down torque, according to Ford. The company says that these new hybrids will be cheaper and more efficient than its current hybrids, via "common cell and component design and by manufacturing motors, transmissions, and battery packs."

New BEVs: We have to wait for those new BEVs, too. The first of these -- an electric performance SUV -- also shows up in 2020, but with five more planned between then and 2022. Ford says that it's "rethinking the ownership experience" as part of this and that over-the-air software updates to add new features will be part of the $11 billion investment plan.

More SUVs, more commercial vehicles, a super Mustang: Other new vehicles on the way include a reborn Ford Bronco SUV and an as-yet unnamed small SUV, but before then we'll get redesigned Explorers and Escapes, due in 2019. Next year, Ford will also bring a new Transit van to the US, and it says advanced driver-assistance systems, like automatic emergency braking and others, will be added to future commercial vehicles like the future E-Series, F-650, F-750, and F59-based vehicles.


Facial Scanning Now Arriving At US Airports ( 79

According to a report via NPR, a Geneva-based company called SITA that develops information technology for the world's airlines has installed facial scanning cameras at Orlando International Airport. "Britain-bound passengers -- some wearing Mickey Mouse T-shirts and other Disney paraphernalia -- lined up at Gate 80 recently for the evening British Airways flight to London's Gatwick Airport," reports NPR. "It looks like any other airport departure area, except for the two small gates with what look like small boxes on posts next to them. Those boxes are actually cameras." From the report: Sherry Stein, a senior manager at SITA, says the cameras are triggered when passengers step onto designated footprints. "We collect a photo, send it to CBP, who checks to make sure that person is booked on the manifest and matches the photo that they already have on file." If everything matches, Stein says, "we open the doors and give them the OK to board." All that happens, she says, "in three to five seconds." If things don't match, the traveler's passport is scanned manually by a gate agent. CBP is testing biometric scanning at a dozen or so U.S. international airports to ensure that people leaving the country are who they say they are, and to prevent visa overstays. The Transportation Security Administration, another agency within the Department of Homeland Security, is testing similar devices at security check-in lines.
The Courts

Man Fined For Implanting NFC Train Ticket In Hand ( 107

Unhappy Windows User writes: An Australian man, when checked by a ticket inspector, claimed his smart travel card was implanted in his hand. He took the case to court and lost; the fine and legal fees add up to AU$1220 (USD $950). The man, who self-identifies as a biohacker and is a member of the Science Party, accepts the ruling but states that it won't discourage him from further biohacking. He claimed he was ahead of the law. The prosecution argued that, by cutting the chip out of the card, the ticket was invalidated. It is not clear from the article whether the NFC chip was working correctly and could be read by the inspector, or not. Further reading: BuzzFeed News

Tesla Employees Say Automaker Is Churning Out a High Volume of Flawed Parts ( 150

Several current and former employees of Tesla said that the automaker is manufacturing a surprisingly high ratio of flawed parts and vehicles, leading to more rework and repairs than can be contained at its factory in Fremont, California. CNBC reports: One current Tesla engineer estimated that 40 percent of the parts made or received at its Fremont factory require rework. The need for reviews of parts coming off the line, and rework, has contributed to Model 3 delays, the engineer said. Another current employee from Tesla's Fremont factory said the company's defect rate is so high that it's hard to hit production targets. Inability to hit the numbers is in turn hurting employee morale. To deal with a backlog of flawed parts and vehicles, said these current and former employees, Tesla has brought in teams of technicians and engineers from its service centers and remanufacturing lines to help with rework and repairs on site in Fremont. They also said that sometimes the luxury EV maker has taken the unusual measure of sending flawed or damaged parts from Fremont to its remanufacturing facility in Lathrop, California, about 50 miles away, instead of fixing those parts "in-line." Tesla flatly denies that its remanufacturing teams engage in rework. "Our remanufacturing team does not 'rework' cars," a spokesperson said. The company said the employees might be conflating rework and remanufacturing. It also said every vehicle is subjected to rigorous quality control involving more than 500 inspections and tests. The report from CNBC has caused Tesla's stock to tumble today. You can read Tesla's full statement about the CNBC report here.

New York's Subway Is Slow Because They Slowed Down the Trains After A 1995 Accident 154

According to the Village Voice, New York City's subway trains are running slower because the Metropolitan Transportation Authority (MTA) is deliberately running the trains slower. The Village Voice obtained MTA internal documents, discovering that the decision to run the trains slower was made following a fatal 1995 crash on the Williamsburg Bridge. From the report: The subway's performance has been steadily deteriorating for many years. The authority's own internal data shows that delays due to "incidents," such as broken signals and tracks or water damage, have only marginally increased since 2012. But there is one type of delay that's gotten exponentially worse during that time: a catchall category blandly titled "insufficient capacity, excess dwell, unknown," which captures every delay without an obvious cause. From January 2012 to December 2017, these delays increased by a whopping 1,190 percent -- from 105 per weekday to 1,355. In December, one out of every six trains run across the entire system experienced such a delay. The increase has been steady and uninterrupted over the past six years.
In 1995, a Manhattan-bound J train crossing the Williamsburg Bridge rear-ended an M train that was stopped on the bridge, killing the J train operator and injuring more than fifty passengers. The National Transportation and Safety Board investigation placed most of the blame on the J train operator, who the NTSB suspected had been asleep. But the NTSB also identified potential issues with the signal system that contributed to the accident, which it found didn't guarantee train operators enough time to apply the emergency brakes even when awake. "They slowed the trains down after the Williamsburg Bridge crash," a veteran train operator who asked not to be identified told the Village Voice. "The MTA said the train was going too fast for the signal system." As a result, the MTA, quite literally, slowed all the trains down, issuing a bulletin informing employees in April 1996 that their propulsion systems would be modified so they could achieve a maximum speed of 40 miles per hour, down from the previous high of 50 to 55 miles per hour on a flat grade. But the MTA didn't stop there, internal documents show. One of the NTSB's safety recommendations was to set speed limits. As a result, the MTA began a still-ongoing process of changing the way many signals work to meet modern safety standards.

A Chatbot Can Now Offer You Protection Against Volatile Airline Prices ( 24

The same bot, DoNotPay, that helped users overturn parking tickets and sue Equifax for small sums of money is now offering you protection against volatile airline prices. The Verge reports: Joshua Browder, a junior at Stanford University, designed the new service on the bot in a few months, after experiencing rapidly fluctuating airline prices when flying to California during the wildfires last year. "It annoyed me that every single flight, I could be paying sometimes double or even triple the person next to me in the same type of seat," he told The Verge. Browder first used the service himself and then tested it among his friends in a closed beta. He claims that the average amount saved among the beta testers is $450 a year, though it's not clear how many flights were booked and how much they cost. The service is available to the public starting today. To use it, log in with a Google account, input your phone number, birthday, and credit card information through Stripe. (Browder swears the credit card information won't be stored.) Then the chatbot tells you you're all set. Now, every time you buy airline tickets, whether from an airline's site or a third party, the chatbot will help make sure you pay the lowest price for your class and seat.

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