Articles tagged with Vehicles
Researchers developed a finite element model to analyze the structural static loads and collisions of a train cowcatcher. The simulation results showed that the cowcatcher has good obstacle clearance ability, but may suffer damage during frontal collision with large obstacles.
A new study proposes a data-sharing solution based on distributed fountain coding to improve the reliability of transmission in complex vehicle-connected environments. The proposed method allows receivers to accept encoded packets from different vehicles, reducing decoding failure caused by network anomalies.
Rates of fatal motor vehicle accidents were highest among military members immediately following their return from deployment, while the highest rates of fatal accidental overdose deaths occurred later in postdeployment life. Younger soldiers between 18-24 years old were at highest risk for MVA and accidental overdoses.
The UK is heavily exposed to the electric vehicle (EV) revolution due to its critical dependency on battery imports, with imports exceeding exports by 10.5 times. The Aston University report outlines a four-point plan to fortify the UK's presence in the global EV market.
Researchers studied user perceptions and requirements for remote driving in L4 AVs, highlighting the importance of clear communication and reliable teleoperation systems. The study found that users support remote driving as a failsafe mechanism but raise concerns about cybersecurity, privacy, and performance.
A new study found that older drivers with newly diagnosed migraines are three times more likely to experience a motor vehicle crash, while those with previous diagnoses are not at increased risk. Researchers also explored the relationship between migraine medications and driving habits, but found no significant impact.
Korea Maritime & Ocean University researchers have developed a new method for assessing the path-following performance of autonomous ships in adverse weather conditions. The computational fluid dynamics model can provide more accurate predictions of path-following performance and enhance safety in autonomous marine navigation.
Researchers at Osaka Metropolitan University fabricated GaN transistors using diamond substrates, achieving more than twice the heat dissipation of SiC-based transistors. This novel technology has the potential to revolutionize power and radio frequency electronics with improved thermal management capabilities.
Researchers developed a 360-degree head-up display system that can project holographic representations of road obstacles, improving road safety. The system uses LiDAR data to create accurate and dynamic information about potential hazards.
Air quality in São Paulo fell far below standards and WHO recommendations despite reduced emissions during the pandemic. The study identified four main sources of aerosols: heavy vehicles, soil dust, light vehicles, and local sources, including industrial emissions and fires.
Researchers developed an adaptable machine learning algorithm to measure driver 'workload' using driving performance signals, enabling real-time adjustments to in-vehicle systems for enhanced safety and user experience. The system can respond to changes in the driver's behavior, status, road conditions, or characteristics.
A new deep learning-based detection system has been developed by INU researchers to improve the detection capabilities of autonomous vehicles. The system, aided by IoT technology, generates bounding boxes and confidence scores for visible obstacles using point cloud data and RGB images as input.
A hierarchical platoon control framework is designed to address the influence of external disturbances on CV platoons. The ISM controller eliminates disturbance effects, ensuring stability and string stability in the platoon. Numerical simulations demonstrate the effectiveness of the control strategy.
The study found significant variation in maximum allowable GVW limits for timber trucking across countries, with Japan having the strictest limits. Road transport accounted for 89% of total industrial roundwood moved over long distances, and average transportation costs ranged from 4-24 euros per tonne. The results highlight the need f...
A recent report shows 37 percent of sampled drivers reported talking on their handheld cell phone while driving, highlighting the dangers of distracted driving. The UC San Diego TREDS program aims to educate the public on safe driving practices through free online courses and materials.
A large study of used cars and SUVs found battery electric vehicles driven almost 4,500 fewer miles than gas cars annually. This challenges current assumptions about emissions savings from EVs, highlighting the need for better understanding of driver behavior to accurately predict emissions reductions.
The UCLA Mobility Center of Excellence will conduct research on the impacts of new mobility technologies and highly automated vehicles on transportation systems. The center aims to improve efficiency, mobility, and sustainability by studying the long-term effects of emerging mobility technologies.
The University of Missouri's Missouri Work Zone Safety Center of Excellence aims to reduce fatalities and serious injuries in highway work zones through research and outreach. The center will focus on integrating emerging technologies, data analysis, and countermeasures to address distracted driving and other safety concerns.
Scientists discovered that solid electrolyte interphase (SEI) layer behaves like a semiconductor, causing electron leakage and leading to inferior battery performance. Minimizing organic components in SEI enables longer-lasting batteries.
A study in the October issue of Plastic and Reconstructive Surgery found higher rates of mutilating hand injuries and amputations with side-by-side UTVs compared to all-terrain vehicles. UTV riders had three times the amount of mutilating injuries and nearly ten times the amount of amputations.
Researchers at MSU are working on a project to create an electric autonomous vehicle that can travel long distances without charging, addressing the issue of range anxiety. The team is exploring battery chemistry, electrical systems, and materials to develop a fully autonomous, lightweight all-terrain vehicle.
Researchers are using neuroscience and AI to develop more secure vision systems for autonomous vehicles, which can be deceived by hackers through optical illusions. The goal is to improve the overall safety and success of autonomous 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 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.
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.
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...