UBER driver data helps track and potentially alleviate urban traffic congestion — ScienceDaily

A new machine learning algorithm is poised to help urban transportation analysts relieve bottlenecks and chokepoints that routinely snarl city traffic.

The tool, called TranSEC, was developed at the U.S. Department of Energy’s Pacific Northwest National Laboratory to help urban traffic engineers get access to actionable information about traffic patterns in their cities.

Currently, publicly available traffic information at the street level is sparse and incomplete. Traffic engineers generally have relied on isolated traffic counts, collision statistics and speed data to determine roadway conditions. The new tool uses traffic datasets collected from UBER drivers and other publicly available traffic sensor data to map street-level traffic flow over time. It creates a big picture of city traffic using machine learning tools and the computing resources available at a national laboratory.

“What’s novel here is the street level estimation over a large metropolitan area,” said Arif Khan, a PNNL computer scientist who

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Israeli Startup Adasky’s Thermal Cameras Aimed At Reducing Pedestrian Traffic Deaths

The split screen image tells two dramatically different versions of the same story. On one side the view through a conventional camera showed a barely visible vehicle on a dark street. On the other, what could not be clearly seen in the first image became crystal clear: moving vehicles and pedestrians—all obstacles an autonomous vehicle or one equipped with an advanced driver assistance system (ADAS) would need to “see” to avoid an accident.

 The more revealing image was produced by a thermal camera system called Viper created by Israeli start up Adasky and its CEO Yakov Shaharabani believes the little device that costs around $100 is both a game changer, life saver and a vast improvement on current

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V2X: Secure data exchange in the road traffic of the future

KOLN, Germany, Dec. 1, 2020 /PRNewswire/ — TÜV Rheinland is working on testing and security standards for digitalized road traffic. It is now the only testing company represented in a working group of the cross-industry 5G Automotive Association (5GAA), which develops testing and security standards for those devices that will communicate with each other in the traffic of the future. The keyword for this is “V2X” communication. “V2X” stands for “Vehicle to Everything”. “In the future, vehicles will communicate with each other and with other road users as well as appropriately equipped digital infrastructure,” explains Bircan Taslica, Head of Technical Process Optimization & IoT Wireless and 5G at TÜV Rheinland.

More security through data exchange

Among other things, the V2X principle is intended to ensure greater traffic safety. For example, in the traffic of the future a vehicle could automatically detect when a cyclist is approaching from behind on

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Economist publishes research on traffic camera effectiveness

stop light
Credit: CC0 Public Domain

Between 300 and 400 cities in the U.S. employ traffic camera programs, according to Montana State University assistant professor Justin Gallagher. Even so, there has long been debate over whether the programs are effective at maximizing public safety and reducing traffic accidents.


Gallagher, a faculty member in MSU’s Department of Agricultural Economics and Economics in the College of Agriculture and the College of Letters and Science, wondered if he could narrow down an answer to that question. In a paper published in the American Economic Journal of Economic Policy, Gallagher and University of Arizona researcher Paul Fischer examine the concept of offsetting risks using more than a decade’s worth of data from one of the country’s largest red-light camera programs in Houston, Texas.

“In debates about this issue, one side argues that these cameras improve safety, while the other side is often concerned with having computers

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Apple lets some Big Sur network traffic bypass firewalls

A somewhat cartoonish diagram illustrates issues with a firewall.

Patrick Wardle

Firewalls aren’t just for corporate networks. Large numbers of security- or privacy-conscious people also use them to filter or redirect traffic flowing in and out of their computers. Apple recently made a major change to macOS that frustrates these efforts.

Beginning with macOS Catalina released last year, Apple added a list of 50 Apple-specific apps and processes that were to be exempted from firewalls like Little Snitch and Lulu. The undocumented exemption, which didn’t take effect until firewalls were rewritten to implement changes in Big Sur, first came to light in October. Patrick Wardle, a security researcher at Mac and iOS enterprise developer Jamf, further documented the new behavior over the weekend.

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This traffic camera sees all (and that’s a good thing)

traffic-light.jpg

Lidar, visual, acoustic, thermal: The battle of the sensors continues to rage among autonomous vehicle developers, and sensor development is pushing the technology forward while lowering prices and footprint. While the AV space is being watched closely, all that activity in the sensor market is opening new opportunities in adjacent spaces.

A good illustration comes in the form of two new traffic management system cameras built on sensing architecture developed for the autonomous vehicle space. FLIR Systems, which makes thermal sensors for a variety of applications, including automotive, recently announced a smart thermal imaging traffic camera, along with a visible spectrum camera, both with artificial intelligence to optimize traffic flow on roadways and at intersections. 

FLIR has been aggressive diversifying beyond the consumer automotive space. Last year, I wrote about FLIR’s acquisition of Endeavor Robotic Holdings, a military defense company specializing in ground robots, for a whopping $385 million. That

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Derecho, not pandemic, impacts Cedar Rapids’s traffic camera tickets the most

CEDAR RAPIDS — While the number of tickets for speeding and red light-running issued by Cedar Rapids’ traffic cameras has remained fairly steady during the coronavirus pandemic, it took a tremendous dip after the Aug. 10 derecho caused widespread damage and power outages — including to the cameras.

In August, the automated traffic enforcement cameras flagged 5,315 vehicles for speeding and 89 for running red lights, for a total of 5,404 citations. That’s less than half the monthly average of 14,350 for a nine-month period.

“All the cameras were turned off from Aug. 10 through Sept. 4, first because the power went out and we need power to run the cameras, but then they stayed off so Sensys Gatso (the camera vendor) could do an assessment and check them for damage,” said Public Safety Programs Manager Amanda Grieder, who oversees the automated camera program. “We also had to repair and

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Optical Transport Network Equipment Market|Growing Mobile Data Traffic to Boost the Market Growth

The global optical transport network equipment market size is poised to grow by USD 16.64 bn during 2020-2024, progressing at a CAGR of almost 16% throughout the forecast period, according to the latest report by Technavio. The report offers an up-to-date analysis regarding the current market scenario, latest trends and drivers, and the overall market environment. The report also provides the market impact and new opportunities created due to the COVID-19 pandemic. Download a Free Sample of REPORT with COVID-19 Crisis and Recovery Analysis.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20201105005382/en/

Technavio has announced its latest market research report titled Global Optical Transport Network Equipment Market 2020-2024 (Graphic: Business Wire)

The growing smartphone and tablet data traffic is the biggest contributor to the optical transport network equipment market. Mobile video data traffic constituted a significant portion of the mobile data traffic due to extensive connectivity to

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Space traffic management idling in first gear

Debate over which agency should manage civil STM stymies progress

FOR THE HEAD OF NASA, IT WAS ONE CLOSE APPROACH TOO MANY.

On Sept. 22, International Space Station controllers acted quickly to adjust the orbit of the station when U.S. Space Command informed them that an unidentified piece of debris would come within 1.4 kilometers of the station later that day. A Progress cargo spacecraft docked to the station fired its thrusters, nudging the station enough to ensure the object — later found to be debris from an H-2A rocket upper stage that broke apart last year — passed without incident.

“The space station has maneuvered three times in 2020 to avoid debris. In the last two weeks, there have been three high concern potential conjunctions. Debris is getting worse!” NASA Administrator Jim Bridenstine tweeted shortly after the debris passed. “Time for Congress to provide the Commerce Department with the

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Global Explosive Trace Detection (ETD) Market|Increase In Passenger Traffic to Boost the Market Growth

The global explosive trace detection (ETD) market size is poised to grow by USD 929.60 million during 2020-2024, progressing at a CAGR of almost 9% throughout the forecast period, according to the latest report by Technavio. The report offers an up-to-date analysis regarding the current market scenario, latest trends and drivers, and the overall market environment. The report also provides the market impact and new opportunities created due to the COVID-19 pandemic. Download a Free Sample of REPORT with COVID-19 Crisis and Recovery Analysis.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20201023005029/en/

Technavio has announced its latest market research report titled Global Explosive Trace Detection (ETD) Market 2020-2024 (Graphic: Business Wire)

There have been significant changes in standard operation procedures (SOP) for air terminals, owing to the constant increase in air passenger traffic. Airports are incorporating advanced machinery for rapid scanning of people and baggage. They are

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