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Carnegie Mellon study finds that rideshare launches boost regional GDP and flexible jobs

A new study from Carnegie Mellon University and Oxford Saïd Business School found that the entry of ride-hailing platforms drove measurable increases in economic output and intermittent employment. Regional GDP per capita increased, and the number of seasonal, temporary, or intermittent jobs rose after Uber and Lyft entered the region.

What's driving Salt Lake City's downward emissions trends?

Emissions of nitrogen oxides (NOx) and carbon monoxide (CO) in Salt Lake City have declined significantly over the past two decades, driven by improved vehicle technology and emission standards. Meanwhile, levels of carbon dioxide (CO2), a major contributor to climate change, have remained relatively steady.

SourceUniversity of Utah·JournalAtmospheric Environment·TypeData/statistical analysis·DateMar 31, 2026

Vision-impaired individuals estimate the arrival time of approaching vehicles surprisingly

A new international study found that people with central vision loss can judge the motion of vehicles almost as accurately as those with normal vision. When both visual and auditory information were available, the two groups showed comparable accuracy in estimating the arrival time of approaching vehicles. The research, published in PL...

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

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

Crosswalk confusion: MA drivers flummoxed by pedestrian hybrid beacons, find UMass Amherst researchers

A study by UMass Amherst researchers found that nearly a quarter of MA drivers run through the red light at pedestrian hybrid beacons. Drivers also often stop too soon or fail to slow down during flashing yellow phases, causing confusion and potential safety issues.

SourceUniversity of Massachusetts Amherst·JournalTransportation Research Record Journal of the Transportation Research Board·TypeObservational study·DateOct 7, 2025

PSU research shows Portland transit-oriented developments reduce car trips, especially at affordable housing sites

A new study by Portland State University's Transportation Research and Education Center (TREC) reveals that transit-oriented developments (TODs) in the Portland metro area generate significantly fewer car trips than previously estimated. At affordable housing sites, car trips were reduced to only a quarter to two-fifths of expected rates.

FAU engineers develop smarter AI to redefine control in complex systems

Researchers at FAU have developed a smarter AI framework that can manage complex systems with unequal levels of authority and adapt to imperfect information. The framework, based on reinforcement learning and game theory, reduces unnecessary computation while maintaining system stability and optimal strategy outcomes.

SourceFlorida Atlantic University·JournalIEEE Transactions on Systems Man and Cybernetics Systems·TypeComputational simulation/modeling·DateSep 23, 2025

Spain must significantly reduce nitrogen oxide emissions from road traffic and control industrial emissions to lower tropospheric ozone levels before 2030

Scientific research indicates that Spain must significantly reduce nitrogen oxide emissions from road traffic and control industrial emissions to lower tropospheric ozone levels before 2030. Implementing measures such as maximizing renewable energy use, promoting electrification of transportation, and implementing emission controls for...

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.

Study finds cities that conducted greenhouse gas emissions inventories moved needle toward reduction

New research from the University of Kansas found that completing a greenhouse gas emission inventory indeed moves the needle toward mitigation, with cities reducing their CO2 emissions by about 22 fewer pounds per capita. The addition of sustainability staff did not show a statistically significant reduction.

SourceUniversity of Kansas·JournalCities·TypeData/statistical analysis·DateMar 12, 2025

Researchers are driving the charge of zero emissions

A study by Virginia Tech researchers found that electric vehicles generally produce less non-exhaust emissions than gasoline-powered vehicles when driving in city conditions. The research also highlights the environmental benefits of regenerative braking, which reduces brake abrasion emissions.

SourceVirginia Tech·JournalTransportation Research·DateFeb 10, 2025

Paved with good inventions: Road management needs new technologies, simpler regulations and improved collaboration

Two EU-funded projects presented digital, robotic, and other technologies for improved road monitoring and maintenance, emphasizing the need for automation, data-driven solutions, and sustainability. High-level participants highlighted the importance of collaboration and regulation in paving the way for smarter infrastructure management.

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

Researchers from Incheon National University advanced adaptive traffic monitoring with smart cameras

The researchers developed a novel camera-based system that adapts to traffic flow in real-time, ensuring efficient monitoring and resource use. The system's two approaches, the Random-Value-Camera-Level Algorithm and the ALL-Random-With-Weight Algorithm, optimize camera usage and save energy while maintaining reliable surveillance.

SourceIncheon National University·JournalIEEE Internet of Things Journal·TypeExperimental study·DateJan 15, 2025

Study: Conflicting goals, focus on economic development lead to underperforming streetcar systems

Cities with high-performing streetcar systems prioritize transporting people to desired locations, while those that focus on economic development often experience poor performance. The study highlights the importance of focusing on passenger attraction and coordinated fare policies for successful streetcar systems.

SourceUniversity of Kansas·JournalJournal of Planning Education and Research·TypeObservational study·DateSep 30, 2024

Study quantifies air pollution for NYC subway commuters

A new study quantifies air pollution for NYC subway commuters, revealing disparities in exposure across racial and income groups. The research found that people from lower-income working communities have higher exposures and Black and Hispanic workers experience on average 35% and 23% higher PM2.5 exposure, respectively.

SourcePLOS·JournalPLOS ONE·TypeObservational study·DateAug 7, 2024

Cars as particles

A mathematical model developed by Alexandre Solon and Eric Bertin describes the movement of particles in situations similar to cars on a road or bacteria attracted to a nutrient source. The model identifies conditions that favor traffic jams, including high vehicle density and driver inertia.

SourceSissa Medialab·JournalJournal of Statistical Mechanics Theory and Experiment·TypeComputational simulation/modeling·DateApr 30, 2024

Retention ponds can deliver a substantial reduction in tire particle pollution, study suggests

A new study reveals that retention ponds and wetlands can significantly reduce the amount of tyre particles entering aquatic environments, with an average reduction of 75%. The research found that tyre wear particles outweigh other forms of microplastics, but are also removed in greater quantities.

SourceUniversity of Plymouth·JournalEnvironmental Science and Pollution Research·TypeExperimental study·DateApr 12, 2024

System uses artificial intelligence to detect wild animals on roads and avoid accidents

A team of researchers developed an AI-powered computer vision model to detect Brazilian wild animals on roads and warn drivers in real-time. The system uses roadside cameras and portable computers to identify species such as anteaters, wolves, and tapirs, with the potential to save lives and reduce roadkill.