State of Delaware: State Crash Data Now Available to Public Through Open Data Portal

State of Delaware: State Crash Data Now Available to Public Through Open Data Portal. “Those evaluating or planning the safety enhancement of potential crash sites or hazardous roadway conditions will find the dashboard useful as it is updated monthly and contains crashes that occurred since 2009 through six months ago. Through the portal, users can filter crash data and visualize the data in charts, graphs and maps.”

StreetsBlog Cal: New Tool Helps Planners and Public Visualize Vehicle Miles Traveled

StreetsBlog Cal: New Tool Helps Planners and Public Visualize Vehicle Miles Traveled. “Fehr & Peers has developed a new tool to help planner and the public ‘see’ how much driving people do, both locally and regionally, in California. This is useful for planning, for grant applications, for estimating traffic impacts from projects, and for estimating greenhouse gases from transportation.”

Berkeley News: Massive traffic experiment pits machine learning against ‘phantom’ jams

Berkeley News: Massive traffic experiment pits machine learning against ‘phantom’ jams. “Many traffic jams are caused by human behavior: a slight tap on the brakes can ripple through a line of cars, triggering a slowdown — or complete gridlock — for no apparent reason. But in a massive traffic experiment that occurred outside of Nashville last week, scientists tested whether introducing just a few AI-equipped vehicles to the road can help ease these ‘phantom’ jams and reduce fuel consumption for everyone. The answer seems to be yes.”

Herald Goa: Outdated Google Maps cause of road mishaps at Khandepar junction?

Herald Goa: Outdated Google Maps cause of road mishaps at Khandepar junction?. “The Khandepar junction has been witnessing a series of road accidents since the last few months and now it’s coming to the fore that misleading Google Maps may be one of the contributing factors to it. The work of junction road for the newly built bridge is ongoing and it is still half-done. The locals have demanded to either complete the junction road or at least add changes regarding the route on Google Maps.”

The Guardian: Surrey police accused of using ‘phantom’ traffic units on Waze app

The Guardian: Surrey police accused of using ‘phantom’ traffic units on Waze app. “Surrey’s police force has been accused of operating ‘phantom units’ after traffic officers admitted to providing misleading data to a satnav app. Officers said on Twitter that they falsely reported their locations as stationary on the Waze traffic app, which suggests they may be operating a speed trap, when they were in fact driving.”

Our most dangerous streets: Huge new collision database points to Toronto’s postwar suburbs (Toronto Star)

Toronto Star: Our most dangerous streets: Huge new collision database points to Toronto’s postwar suburbs. “A Star analysis of a huge new database of Toronto traffic collisions is shining a bright spotlight on a distinctly suburban problem. The new data set, much larger and more complete than any previously available records, offers a comprehensive account of nearly 500,000 collisions reported to Toronto police between 2014 and 2021, most mapped to the nearest intersection.”

Los Angeles Times: Car crash deaths have surged during COVID-19 pandemic. Here’s why

Los Angeles Times: Car crash deaths have surged during COVID-19 pandemic. Here’s why. “It was a tally that shocked the experts: 38,680 deaths on U.S. roadways last year, the most since 2007, even though pandemic precautions had dramatically reduced driving…. He was wrong. The latest evidence suggests that after decades of safety gains, the pandemic has made U.S. drivers more reckless — more likely to speed, drink or use drugs and leave their seat belts unbuckled.”

Engadget: Google turns its AI on traffic lights to reduce pollution

Engadget: Google turns its AI on traffic lights to reduce pollution. “Google has run pilots at four locations in Israel to date, in partnership with the municipalities of Haifa, Beer-Sheva and the Israel National Roads Company. The company says it’s observed a ’10 to 20 percent reduction in fuel and intersection delay time’ so far. Google didn’t share any details on the average daily traffic in those intersections, though a video clip from the event showed a fairly busy junction. The company also didn’t explain how the AI would work with current systems and the lights around specific intersections.”

WDBJ: New website tracks traffic stops in Virginia

WDBJ: New website tracks traffic stops in Virginia. “With each traffic stop, state law requires the officer to collect, and the law enforcement agency to report, several pieces of information, including: the race, ethnicity and gender of the person who was stopped, the reason for the traffic stop and whether or not the officer, or the citizen, used physical force. Anyone can view the statistics online, and officials with the Virginia Department of Criminal Justice Services are now analyzing the data collected so far.”

Ars Technica: Traffic congestion dropped by 73 percent in 2020 due to the pandemic

Ars Technica: Traffic congestion dropped by 73 percent in 2020 due to the pandemic. “In 2020, the average US driver spent 26 hours stuck in traffic. While that’s still more than a day, it’s a steep decline from pre-pandemic times; in 2019 the average American sacrificed 99 hours to traffic jams. Around the world, it’s a similar story. German drivers averaged an identical 26 hours of traffic in 2020, down from 46 the year before. In the UK, 2019 sounded positively awful, with 115 hours in traffic jams. At least one thing improved for that island nation in 2020: its drivers only spent 37 hours stationary in their cars.”

Wired: An Artist Used 99 Phones to Fake a Google Maps Traffic Jam

Wired: An Artist Used 99 Phones to Fake a Google Maps Traffic Jam. “ALMOST THREE YEARS ago, artist Simon Weckert noticed something unusual at a May Day demonstration in Berlin: Google Maps showed there was a massive traffic jam, even though there were zero cars on the road. Soon enough, Weckert realized that it was the mass of people, or more specifically their smartphones, that had inadvertently tricked Google into seeing gridlock on an empty street. And then he decided to do it himself.”

Pacific Northwest National Laboratory: New Machine Learning Tool Tracks Urban Traffic Congestion

Pacific Northwest National Laboratory: New Machine Learning Tool Tracks Urban Traffic Congestion. “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.”