Articles tagged with Vehicles
Researchers discovered that aromatic molecules convert to aerosol particles through a fast reaction process, producing carcinogenic compounds. This finding bridges the gap between theory and observation, providing better understanding of urban environment chemistry.
Researchers developed a three-metal hybrid catalyst material featuring nickel, palladium, and platinum interfaces to enhance water splitting and hydrogen molecule generation. The new catalyst demonstrated significant stability and high catalytic activity, overcoming challenges of functional interferences.
Researchers develop novel image-based visual servoing method for UAVs to track dynamic rotating targets. The proposed method utilizes a velocity observer and integral-based filter to enhance tracking stability and anti-disturbance ability.
A team of researchers led by ORNL's Alex Plotkowski developed a novel high-performance alloy, 3Cr-XHTS steel, which can withstand extreme temperatures and stresses. The new alloy demonstrated significant improvements in fatigue strength and oxidation resistance compared to existing materials.
A new algorithm developed by UBC researchers can map the safest route with the lowest possible risk of a crash, incorporating real-time crash risk data. The study found that the fastest routes are not always the safest, highlighting the importance of considering safety and efficiency when choosing directions.
A Michigan Medicine study in Texas found that 61.4% of older adults with cognitive impairment are still driving, but one-third of caregivers have concerns about their care recipient's ability to drive safely. Researchers emphasize the need for open discussions between caregivers and healthcare professionals to ensure safety.
Researchers propose a novel vehicle color recognition method based on Smooth Modulation Neural Network with Multi-Scale Feature Fusion, achieving high accuracy and overcoming class imbalance issues. The proposed method outperforms state-of-the-art VCR methods and meets the requirements for fine classification of vehicle colors.
Researchers at University of Nebraska-Lincoln are working on safeguarding US military base entry points against EV threats, focusing on high-speed ramming and zero-to-60 acceleration. The team will employ digital simulations and physical crash tests to refine barriers designed to withstand such impacts.
Researchers have developed a simulation of how people behave on roads based on cognitive theories, accurately reproducing pedestrian and driver behaviors in common scenarios. The model predicts complex underlying cognitive mechanisms that contribute to the difficulty in creating self-driving vehicles.
A new UNC study estimates that minority communities within 100 meters of major roadways face up to 15% higher PM2.5 and 35% higher NO2 exposure than white communities. The study reveals significant exposure inequities across the US, with vulnerable populations facing a greater burden of pollutants.
A recent study published in the Proceedings of the National Academy of Sciences found that officers' first 45 words during a vehicle stop with a Black driver can indicate how the stop will end. The study discovered a unique 'linguistic signature' that characterizes escalated stops, where officers give an order without stating the reaso...
The new model maximizes coverage area and minimizes response time, accounting for hot spots. It outperformed existing techniques in computational testing, improving response times regardless of traffic size.
Researchers used ALD to create eco-friendly exhaust gas catalysts, lithium-ion battery coatings, and hydrogen fuel cells. The technology improves catalytic and energy material performance through precise control of film thickness and composition.
A new technique called image-free single-pixel object detection (SPOD) can detect the location, size, and category of multiple objects without acquiring images. SPOD uses a small optimized structured light pattern to quickly scan the scene and extract features, achieving an accuracy of over 80%.
A recent study by the University of Surrey found that group cyclists can reduce their exposure to vehicle pollutants by spreading out, especially in busier roads. The research highlights the importance of considering wind movement and positioning within a group to minimize exposure.
The new manufacturing process produces lightweight aluminum vehicle parts that lower costs and are more environmentally friendly. Researchers have shown that the Shear Assisted Processing and Extrusion (ShAPE) process can break up metal impurities in scrap without requiring an energy-intensive heat treatment step.
A new study has introduced a technique to effectively and efficiently mitigate risks by misperception of image recognition AI used in automated driving systems. Researchers have developed DNN repair methods that explore sets of parameters responsible for each misperception type, leading to more effective risk mitigation.
A study on robot deception found that participants were overly trusting of AI and required explicit admission of lying in apologies to repair trust. Apologies that did not admit to deception were more effective at repairing trust, suggesting a need for designers to understand the ramifications of their design choices.
A pilot study uses drones to accurately map how and why pedestrians use city streets in Santiago de Chile. The study finds that drones can reliably collect data on pedestrian behavior, providing valuable insights for urban planning and infrastructure development.
A new study published in Environment International reveals that vehicle exhaust filters have limited impact on reducing ultrafine particles, which are a major contributor to air pollution. The research shows that current filters are not effective at removing smaller liquid particles, highlighting the need for alternative measures to re...
The Indian Institute of Science researchers developed a full-duplex antenna system that cancels out self-interference, enabling faster and more efficient data transfer. The compact design eliminates the need for bulky components, making it suitable for integration into devices.
A Taiwanese study found that pregnant women involved in road traffic collisions, even with minor injuries, are at increased risk of birth complications. Those on scooters faced significantly higher risks than those in cars. The study suggests providing educational materials about road traffic safety during pregnancy.
The UTSA ScooterLab will collect data on riders' mobility, context and environment to improve sustainable transportation solutions. The project aims to transform the way we think about micro-mobility.
A West Virginia University study found that patients treated for motor vehicle collision injuries during the COVID-19 pandemic used more drugs, including cannabinoids, opioids, and stimulants. The study suggests public health interventions may be needed to curb this behavior in rural areas.
The Inflation Reduction Act's target for domestic EV battery mineral extraction is achievable for some plug-in hybrid vehicles but poses significant challenges for fully electric vehicles. A mass-based standard could reduce uncertainty and incentivize production of high-value minerals domestically.
A new Argonne study compares drone energy usage to diesel trucks and electric vehicles, finding that drones consume as much energy as either on average windy days. The models are based on regional energy consumption and facility costs of direct delivery drones under various wind speed scenarios.
New research reveals that nitrogen released by gas-powered machines causes dry soil to let go of carbon and release it back into the atmosphere. The study found that excess nitrogen acidifies soils, leading to a loss of carbon stored in association with calcium.
Researchers from the University of Tsukuba found that mandatory cognitive testing during driver's license renewals in over-75-year-olds leads to decreased motor vehicle crashes. However, this policy change is associated with an increase in bike and pedestrian injuries among the same population.
A new study in The American Journal of Medicine found that adults who neglect COVID-19 vaccination may also neglect basic road safety guidelines. Unvaccinated individuals were more likely to be involved in traffic crashes, with a 72% increased relative risk compared to those vaccinated.
Researchers at Incheon National University have developed an IoT-enabled, real-time object detection system for autonomous vehicles. The YOLOv3-based model achieved high accuracy (>96%) in detecting 2D and 3D objects, outperforming other state-of-the-art detection models.
Researchers at the University of Illinois created an experimental data set to validate models of supersonic flows around a cantilever plate. The data set reveals complex fluid-structure interactions, including three-dimensional flow in the re-circulation region under the plate.
Researchers at Chalmers University have developed an optical hydrogen sensor that can detect extremely low levels of hydrogen, allowing for early detection and alarm. The sensor uses AI technology to optimize particle arrangement and geometry, achieving sensitivity in the parts per billion range.
Research by Lero and Motion-S found that fitting all UK cars with Advanced Driver Assistance Systems (ADAS) could prevent 24% of road crashes. Automatic Emergency Braking (AEB) is the most impactful technology, reducing three out of four most frequent accident categories.
A 3-year study of a 20 mph speed limit in Belfast found no significant reduction in road traffic collisions or driver speed, despite a notable decrease in traffic volume. The reduction in traffic volume was 57 vehicles per week after implementation.
The USPSTF recommends against routine screening for obstructive sleep apnea (OSA) in asymptomatic adults and those with unrecognized symptoms. OSA is linked to various adverse health outcomes, including cardiovascular disease and cognitive impairment.
The UC San Diego TREDS program aims to educate drivers and pedestrians about road safety with a new self-paced online program targeting underage drivers. The initiative seeks to reduce traffic-related injuries and deaths, particularly among teens aged 15-20 who are at higher crash rates.
The study developed an extended deep Q-network (EDQN)-incorporated context-based meta-RL model that can autonomously detect traffic states, classify regimes, and assign signal phases. The model outperformed existing algorithms in simulation experiments and showed adaptability to new tasks without adjusting parameters.
A new study by MIT researchers shows that mobile phones can collect useful structural integrity data while crossing bridges. The study found that information about bridge vibrations can be extracted from smartphone-collected accelerometer data, and that this method could add years to a road bridge's lifespan. By leveraging crowdsourced...
A study by UBC Okanagan researchers suggests that tire particles can contaminate freshwater sources, including lakes like Okanagan and Kalamalka. The researchers estimated that over 50 tonnes of tire and road wear particles are released into waterways annually.
Researchers from NC State University have developed a dynamic computational tool to help improve user access to electric vehicle (EV) charging stations. The technique accounts for factors such as charging time, cost, and wait times to provide users with the most convenient options.
Purdue researchers have developed a new formulation of the world's whitest paint that is thinner and lighter, achieving nearly the same benchmark of solar reflectance as the original. The new paint incorporates hexagonal boron nitride and voids of air, providing reduced weight and increased cooling capabilities.
Researchers designed an integrated system to support joint operations between UAVs and mobile robots for surveillance, epidemic prevention, and rescue operations. The system aims to improve public safety while ensuring privacy and security.
The AI model, trained with end-to-end and multi-task manners, achieves best drivability in a standard simulation environment, outperforming recent models. It extracts useful information from a single RGBD camera and uses sensor fusion techniques to enhance performance.
A study published in the Transportation Research Record found that wildlife crossings in Washington state can reduce wildlife-vehicle collisions, saving lives and money. The research analyzed collision data from 2011 to 2020 and found a significant reduction in deer-related crashes near bridges.
Researchers at NC State University have developed a cooperative distributed algorithm that allows autonomous vehicle software to make calculations more quickly, enabling real-time navigation of complex merging scenarios. The approach improves both traffic flow and safety, with zero incidents in simulations.
A team of researchers has created an online dashboard to track equity requirements in 239 shared micromobility programs across the US. The dashboard provides city officials with valuable insights on best practices for expanding access to these programs, including technology access, reduced fare options, and adaptive vehicles.
Researchers analyzed data from trauma centers to determine if patients with seat belt injuries and negative CT scans can be safely discharged. The study found that some patients with abdominal bruising from a seat belt following a car crash may not need hospital admission.
Scientists developed a novel multilayer coating to improve the longevity of steel, increasing its lifespan by up to 400 hours. The coating, comprising three layers, was found to provide higher resistance to rust than conventional Zn coatings.
Researchers from Politecnico di Milano have developed a programmable photonic processor that can separate and distinguish optical beams even if they are superimposed. This device allows for high-capacity wireless communication, with transmission rates of over 5000 GHz.
A new study published in Applied Economics challenges the long-held 80-20 rule in F1, finding that car and team input accounts for 20% of success, while driver skill accounts for 15%. The interaction between driver and team is found to be the biggest factor, accounting for 30-40% of success.
A Rutgers team created an AI-powered framework that detects trespassing events, differentiates violators, and generates video clips of infractions. The system analyzed 1,632 hours of archival footage and found nearly 70% of trespassers were men, with most incidents occurring on Saturdays around 5 p.m.
A new AI system uses artificial neural networks to recognize objects more accurately and stably, despite changing visual inputs. The system mimics human eye movements to improve machine vision capabilities, reducing errors in self-driving cars and other applications.
A study analyzing over 3 million EV-related Reddit posts reveals a wide spectrum of viewpoints on electric vehicles. The research found high similarities between political and fringe communities, indicating controversial opinions on environmental impacts.
A new optimization tool can quickly improve performance of various autonomous systems, including walking robots and self-driving vehicles. The tool uses automatic differentiation to identify tweaks that achieve desired outcomes, reducing trial-and-error simulations.
Researchers at Portland State University created a two-stage stochastic programming model to optimize e-scooter placement, charging, and rebalancing in Tucson. The model uses data from the City of Tucson to answer questions on demand uncertainty, idle periods, and customer satisfaction.
A new analysis suggests that Black and Hispanic Americans are disproportionately affected by traffic-related deaths, and that these disparities are larger than previous estimates show. The study found that travel distances vary among racial/ethnic groups when walking, cycling, or driving, and when these differences in activity levels a...
A new study by Carnegie Mellon University analyzed the impact of the COVID-19 pandemic and George Floyd's murder on crime rates in 28 US cities. The study found that homicides and auto thefts increased, while robberies and larcenies declined. The authors suggest that social unrest, economic conditions, and changed police behavior may b...
Researchers at MIT City Science explore the impact of autonomy on shared micro-mobility systems, proposing it as a solution to mitigate challenges such as rebalancing and vehicle oversupply. An agent-based simulation tool assesses fleet performance and user experience, providing insights for informed decisions.
Researchers have developed biodegradable nanovesicles that efficiently encapsulate and deliver PARP1 siRNA to breast cancer tumors in mice, inhibiting oncogene expression and extending survival. The polymersomes, assembled from three biodegradable block copolymers, have strong potential for precision-targeted therapeutic carriers.
New research develops a low-index BaF2 thin film-based microspectrometer technology for LWIR spectral sensing. The study demonstrates the use of flat and stress-free free-standing distributed Bragg reflectors (DBRs) for high-performance wavelength discrimination in the long-wave infrared region.