This study investigates pedestrian crash severity through Automated Machine Learning (AutoML), offering a streamlined and accessible method for analyzing critical factors. Utilizing a detailed dataset from Utah spanning 2010-2021, the research employs AutoML to assess the effects of various explanatory variables on crash outcomes. The study incorporates SHAP (SHapley Additive exPlanations) to interpret the contributions of individual features in the predictive model, enhancing the understanding of influential factors such as lighting conditions, road type, and weather on pedestrian crash severity. Emphasizing the efficiency and democratization of data-driven methodologies, the paper discusses the benefits of using AutoML in traffic safety analysis. This integration of AutoML with SHAP analysis not only bolsters predictive accuracy but also improves interpretability, offering critical insights into effective pedestrian safety measures. The findings highlight the potential of this approach in advancing the analysis of pedestrian crash severity.

Drivers can sustain serious injuries in traffic accidents. In this study, traffic crashes on Florida's Interstate-95 from 2016 to 2021 were gathered, and several classification methods were used to estimate the severity of driver injuries. In the feature selection method, logistic regression was applied. To compare model performances, various model assessment matrices such as accuracy, recall, and area under curve (AUC) were developed. The Adaboost algorithm outperformed the others in terms of recall and AUC. SHAP values were also generated to explain the classification model's results. This analytical study can be used to examine factors that contribute to the severity of driver injuries in crashes.

Why do Computer Vision Products need in Warehouses? I have found that the use of computer vision products in warehouses is very helpful as it can save millions of lives of people, that are working in warehouses. Some of the research quotes are mentioned below. "According to the U.S. Department of Labor, tripping, falling, and slipping make up most of what it calls "general industry accidents." Slip and fall accidents make up 15 percent of all accidental deaths, 25 percent of all injury claims, and -- are you ready? "The nearly 40,000 reported injuries accounted for about 49% of all warehouse injuries in the U.S. according to the analysis, though Amazon only employs about 33% of all warehouse workers.

Since Amazon began bringing robots to its warehouses in 2014, company executives have repeatedly claimed that they improve worker safety. But company records obtained by Reveal showed that between 2016 and 2019 serious injuries occurred more often in Amazon warehouses with robots than those without them, suggesting that robots made employees less safe by causing managers to raise performance quotas. Analysis of filings with the US Occupational Safety and Health Administration (OSHA) by The Washington Post found that in 2020, serious injuries were roughly twice as likely to occur in Amazon warehouses than those run by other companies. A separate analysis of OSHA data by labor union coalition the Strategic Organizing Center found the same pattern for 2021. Amazon didn't mention that track record late last month when it announced a machine called Proteus, which company officials call their first fully mobile and collaborative robot.

For the last decade, Amazon has been building an army of robot employees to sort packages and move products safely around its warehouses. Now the company has unveiled its latest robot called Proteus, which it describes as its'first fully autonomous mobile robot'. Proteus is designed to work alongside humans, moving large trolleys full of packages around the warehouse floor. The robot uses Amazon's own safety, perception, and navigation technology to move around autonomously and avoid bumping into human workers. 'Historically, it's been difficult to safely incorporate robotics in the same physical space as people,' the company said in a blog post.

Automakers reported nearly 400 crashes over a 10-month period involving vehicles with partially automated driver-assist systems, including 273 with Teslas, according to statistics released Wednesday by U.S. safety regulators. The National Highway Traffic Safety Administration cautioned against using the numbers to compare automakers, saying it didn't weight them by the number of vehicles from each manufacturer that use the systems, or how many miles those vehicles traveled. Automakers reported crashes from July of last year through May 15 under an order from the agency, which is examining such crashes broadly for the first time. "As we gather more data, NHTSA will be able to better identify any emerging risks or trends and learn more about how these technologies are performing in the real world," said Steven Cliff, the agency's administrator. Tesla's crashes happened while vehicles were using Autopilot, "Full Self-Driving," Traffic Aware Cruise Control, or other driver-assist systems that have some control over speed and steering.

Amid mounting claims its warehouses, especially those with robots, are unsafe, Amazon is doubling down on technology in an attempt to make them safer. The Jeff Bezos-led company is using its Amazon Robotics and Advanced Technology labs to come up with new robots to keep Amazon's warehouse workers, which make up the majority of its more than 1 million employees, safer. Robots known as'Bert' and'Ernie,' use motion-capture technology. Amazon is using technology to keep its warehouses workers safer, despite claims to the contrary. Bert was designed to navigate Amazon's warehouses independently, becoming one of the Jeff Bezos-led company's first autonomous mobile robots This allows Amazon data scientists to understand what's going on in the warehouse and apply that to a laboratory setting, before going back out to the field again.

In a bid to prove that its robot drivers are safer than humans, Waymo simulated dozens of real-world fatal crashes that took place in Arizona over nearly a decade. The Google spinoff discovered that replacing either vehicle in a two-car crash with its robot-guided minivans would nearly eliminate all deaths, according to data it publicized today. The results are meant to bolster Waymo's case that autonomous vehicles operate more safely than human-driven ones. With millions of people dying in auto crashes globally every year, AV operators are increasingly leaning on this safety case to spur regulators to pass legislation allowing more fully autonomous vehicles on the road. But that case has been difficult to prove out, thanks to the very limited number of autonomous vehicles operating on public roads today.

A new report reveals that robots working in Amazon fulfillment centers are leading to more injuries among human employees - although the e-commerce giant claims the technology reduces incidents. Based on internal records from 150 warehouses, serious injuries were 50 percent higher at facilities with robots than those without, according to the Center for Investigative Reporting's news site, Reveal. There were 14,000 serious injuries in 2019 - a spike of nearly 33 percent from 2015, and nearly double the industry average. The overall injury rate for the 150 facilities was also almost double the industry standard, according to Reveal. Amazon insisted its numbers are inflated because it encourages workers to report even minor incidents.

Since 2014, Amazon has touted the efficiency and safety benefits of its new automated fulfillment centers where robots assist human workers in processing packages. But it turns out automation may be doing far more harm to the company's employees than Amazon has led the public and lawmakers to believe. In a new report, the Center for Investigative Reporting's Reveal publication found that between 2016 and 2019, the rate at which Amazon employees sustained serious injuries was 50 percent higher at warehouses where the company has robots that at ones where it does not. Those facilities have among the highest rates of employee injuries of any of Amazon's warehouses. Last year, for instance, a fulfillment center south of Amazon's Seattle headquarters called BFI3 had a rate of 22 serious injuries for every 100 workers.