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High speed, low light conditions tied to unbuckled driving

A new study by the University of Pennsylvania School of Medicine found that seatbelt usage is more closely tied to situational factors such as driving at night or high speeds than demographic characteristics. The study analyzed data from 1,000 participants and found that 30% of buckling behavior could be attributed to situational factors.

SourceUniversity of Pennsylvania School of Medicine·JournalTraffic Injury Prevention·DateSep 22, 2026

Paint it black(er): A new way to make cars darker than ever

Scientists have created a practical way to make ultra-black coatings that meet automotive standards, using a composite of carbon black pigment and carbon nanotubes. The resulting color is a deep jet black with excellent long-term stability, opening the door for high-end car models in darker hues.

SourceCell Press·JournalMatter & Light·TypeExperimental study·DateJun 18, 2026

Self-driving cars safer and more human

A Delft University of Technology breakthrough integrates perception, decision-making, and execution into a single framework. The model detects hazardous situations, predicts traffic evolution, and determines effective avoidance strategies, with realistic braking reaction times and human-like behavior.

SourceDelft University of Technology·JournalNature Communications·TypeComputational simulation/modeling·DateJun 11, 2026

New study: Women are 60 percent more likely to be injured in car accidents than men

A new study by TU Graz finds that women have a 60 per cent higher injury risk in car accidents compared to men. Women suffer noticeably more severe injuries even at lower collision speeds, with the risk of serious injury or death being twice as high. The study highlights the need for more realistic tests and intelligent safety systems.

SourceGraz University of Technology·TypeComputational simulation/modeling·DateMay 7, 2026

Battery technology takes off as markets adjust

Researchers analyzed battery development in electric vehicles over 15 years, finding that market innovation can quickly address material shortages and price increases. The study suggests individual materials may not be as critical to the energy transition as previously thought.

SourceLund University·JournalCell Reports Physical Science·DateApr 22, 2026

UMass Amherst researchers identify top risk factors for pedestrian-vehicle crashes at Massachusetts bus stops

Researchers used machine learning to evaluate 1,773 bus stops across Massachusetts, identifying 13 crash-relevant characteristics and proposing countermeasures. The study found that bus stop types in mixed-use arterial corridors and dense urban cores have the highest prevalence of crashes.

SourceUniversity of Massachusetts Amherst·JournalData Science for Transportation·TypeData/statistical analysis·DateJan 22, 2026

Self-healing composite can make airplane, automobile and spacecraft components last for centuries

Researchers developed a self-healing composite that can repair itself over 1,000 times and extend the lifetime of conventional fiber-reinforced composite materials by centuries. The material targets interlaminar delamination, which occurs when cracks cause fiber layers to separate from the matrix.

SourceNorth Carolina State University·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateJan 14, 2026

Seeing farther: A new camera-based technique detects distant vehicles for safer roads

A new method analyzes nearby vehicle motion to estimate road's trajectory and vanishing point, capturing distant road areas and enhancing safety. The system outperformed conventional and deep learning-based techniques in tests under day and night conditions, reducing intersection-related accidents.

SourceShibaura Institute of Technology·JournalIEEE Open Journal of Intelligent Transportation Systems·TypeComputational simulation/modeling·DateDec 15, 2025

Want to curb cannabis-related crashes? Don’t forget older adults, study finds

A new study suggests that prevention campaigns for cannabis-related vehicle crashes should target middle-aged and older adults, who are at risk of driving after using the drug. Adults over 50 who use cannabis daily or have mental health reasons are most likely to drive after using THC-containing products.

SourceMichigan Medicine - University of Michigan·JournalDrug and Alcohol Dependence·TypeSurvey·DateDec 9, 2025

Cheaper cars pollute more than expensive cars, leading to emissions inequality

Research by University of Birmingham scientists reveals that lower-income individuals are more likely to own cheaper, higher-emitting vehicles contributing disproportionately to local urban air pollution. Spending an additional £10,000 on a diesel vehicle is associated with a 40% reduction in nitrogen oxide emissions per litre.

SourceUniversity of Birmingham·JournalJournal of Cleaner Production·TypeData/statistical analysis·DateNov 14, 2025

Metros cut car use in European cities, but trams fall short

A new study from the Complexity Science Hub found that European cities with a metro system have a significant reduction in car use, with an average of 37% of car trips compared to 50% in cities with only trams and 54% without rail. In contrast, tram cities show no measurable impact on reducing car use.

SourceComplexity Science Hub·JournalNature Cities·TypeComputational simulation/modeling·DateNov 7, 2025

Research project co-led by University of Tennessee, Knoxville among finalists in NSF Regional Innovation Engines Program

The BRIDGES proposal aims to develop a circular bioeconomy in the southeastern US by converting perennial agricultural grass crops into consumer goods. This initiative will create new markets for farmers and produce needed products while developing the region's workforce, ultimately providing access to high-paying jobs.

Driving assistance systems could backfire

New research suggests that driving assistance systems can backfire by making drivers less attentive and increasing hazardous behaviors. The study analyzed data from over 195,000 vehicles and found that different types of warning signals trigger opposite effects on driving behavior.

SourceUniversity of Texas at Austin·JournalProduction and Operations Management·DateJul 11, 2025

Study explores the ‘social norms’ of distracted driving among teens

A new study from Mass General Brigham researchers found that an average of 21% of teen drivers engage in distracted driving, with many believing their peers drive distracted due to social norms. The study suggests encouraging strategies like 'Do Not Disturb' mode and ensuring teens get adequate sleep can mitigate this behavior.

SourceBrigham and Women's Hospital·JournalTraffic Injury Prevention·TypeSurvey·DateJul 3, 2025

New study: Teen drivers safer with more practice

A new study by Virginia Tech Transportation Institute found that teen drivers who practiced more had 30% fewer crash or near-crash incidents. Researchers analyzed data from 82 teen drivers monitored for 22 months, revealing that supervised driving experiences and safety education are crucial for reducing novice driver risks.

Telemedicine had an impact on carbon emissions equivalent to reducing up to 130,000 car trips each month in 2023

New UCLA-led research finds that telemedicine use in 2023 reduced monthly CO2 emissions by the equivalent of 61,000 to 130,000 gas powered vehicles. This modest but noticeable impact on the environment could have policy implications for US healthcare delivery.

SourceUniversity of California - Los Angeles Health Sciences·JournalThe American Journal of Managed Care·TypeData/statistical analysis·DateApr 22, 2025

AI in engineering

The article explores the role of AI in engineering, highlighting benefits such as improved transportation and manufacturing, but also raises concerns about safety, privacy, bias, and governance. The authors discuss weaknesses in data-driven models and call for research into regulatory frameworks to address these issues.

SourcePNAS Nexus·JournalPNAS Nexus·DateMar 11, 2025

Soft actuators, smart sensors: Innovative sensor allows real-time monitoring of complex systems

The Dielectric Elastomer Sensor (DES) offers real-time pressure and vibration monitoring in soft fluidic actuators, ideal for robotics and biomedical devices. The sensor's flexibility and ability to withstand large deformations make it suitable for applications in automobile designing and structural health monitoring.

SourceShibaura Institute of Technology·JournalMeasurement·TypeExperimental study·DateFeb 27, 2025

Opportunistic car recalls could damage brands

Research from Edith Cowan University found that opportunistic recalls, where dealerships try to upsell during the process, lead to negative brand personality and protest behavior. However, protests can paradoxically strengthen customer loyalty if companies effectively manage the recall issue and engage with customers.

SourceEdith Cowan University·JournalJournal of Retailing and Consumer Services·TypeSurvey·DateFeb 16, 2025

How simple prompts can make partially automated cars safer

A new study found that driving-related conversational prompts improve driver performance in taking control of the vehicle, but only when drivers are engaged. Conversely, non-driving related tasks like solving anagrams can significantly decrease performance and render prompts ineffective.

SourceNorth Carolina State University·JournalHuman Factors The Journal of the Human Factors and Ergonomics Society·TypeExperimental study·DateJan 28, 2025

Dynamics of laser surface texturing in boosting lightweight vehicle design: a study by Seoul National University of Science and Technology

A Seoul National University team developed a breakthrough technique to improve metal-polymer joints, enabling the use of plastics in car parts and reducing overall vehicle weight. This method uses laser surface texturing to create strong and durable bonds between steel and plastic materials.

SourceSeoul National University of Science & Technology·JournalOptics & Laser Technology·TypeExperimental study·DateJan 27, 2025

New research shows a scientific approach can optimize bike lane planning

A new study by University of Toronto researchers has developed a model that can help municipalities choose optimal locations for bike lanes, minimizing congestion and increasing cycling ridership. The model uses traffic and commuter mobility data to predict the impact of bike lane expansion on driving travel time and emissions.

SourceUniversity of Toronto, Rotman School of Management·JournalManagement Science·TypeObservational study·DateJan 27, 2025

Making self-driving cars safer, less accident prone

A new AI model developed at the University of Georgia predicts nearby traffic movements and incorporates innovative features for planning safe vehicle movements. This approach helps reduce crashes and near-misses by consolidating two steps: predicting surrounding traffic movements and planning a self-driving car's motion.

SourceUniversity of Georgia·JournalTransportation Research·DateDec 10, 2024