Articles tagged with Transportation Engineering
A McGill University-led study recommends cold-climate cities expand electric bus fleets and implement slow charging to optimize operations and reduce energy consumption. The approach aims to eliminate diesel reliance and minimize operating costs, making transit systems more cost-effective and eco-friendly.
A $1 million gift from Roger Krone establishes the University's first space systems endowment and laboratory, enhancing real-world learning experiences for students. The commitment will fund scholarships, research, and experiential learning opportunities in space systems engineering.
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.
Researchers developed a multi-feature fusion filtering framework to improve defect detection in heavy-haul lines, achieving accurate localization in over 90% of test cases. The method outperforms single-feature methods by reducing missed detections and large localization deviations.
This study reveals that off-the-shelf large language models do not exhibit universal risk profiles and can be affected by prompt language, leading to systematic distortions. The findings highlight the need for rigorous empirical calibration before deploying these models in computational social science and choice modeling.
Research finds that one-pedal driving in electric vehicles yields narrower distributions of speed and acceleration when integrated with Adaptive Cruise Control, improving traffic flow stability. However, manual control produces pronounced speed oscillations and sharper decelerations, highlighting the need for automation.
Knowledge graphs provide explicit reasoning and traceable decision support, while large language models excel in semantic understanding and contextual generalization. The study reveals the growing synergy between these two AI paradigms, promising a more robust and trustworthy autonomous driving system.
Researchers developed an AI that navigates ships using human-like decision-making, handling complex situations such as narrow channels and multiple vessels. The AI achieved compliance with maritime traffic rules and demonstrated unexpected behavior like local navigation customs.
A study reveals a contrast in decision-making pathways between fuel vehicle and EV owners, highlighting pragmatic benefits for FV owners and habit-driven loyalty among EV owners. The research suggests segment-specific strategies to convert fuel-to-EV owners and retain existing EV users.
A new study introduces a standardized method for measuring greenhouse gas and air pollutant emissions generated across the entire retail journey. The protocol covers online and traditional in-store shopping and provides nationwide parameters for China from 1990 to 2023, identifying opportunities for meaningful reductions.
Researchers introduced CogDrive, a cognition-driven framework for autonomous vehicles to think ahead and make structured reasoning about multiple possible future behaviors. The framework achieves state-of-the-art performance in trajectory prediction and demonstrates smoother maneuvers in dense urban environments.
Global road injury rates declined by 38.3% for new cases and 32.3% for deaths between 1990 and 2023, but progress was uneven across income groups. Low- and middle-income countries bear the greatest burden, with nearly six times higher mortality rates than high-income countries.
A European energy system model determines that a uniform benchmark for vehicle charging infrastructure is not optimal, as the cost-optimal level varies by country. Customized targets for EU member states can unlock benefits through smart charging technologies like V1G and V2G.
A new collaborative study has developed an electrochemical device that can pull carbon dioxide directly from the atmosphere using electricity and water-based chemistry, addressing the planet's excess CO2 problem. The technology is designed to reduce new emissions and remove CO2 that has already accumulated in the atmosphere.
A University of Houston engineer developed a real-time safety system for quadrotor drones that can prevent accidents caused by unexpected events. The new technology uses a 'safety supervisor' module to monitor the drone's tilt and position in real time, ensuring it stays within safety limits.
Researchers developed a two-step simulation framework to assess vibration transmitted through tracks, stations, buildings, and soil near Changsha Huanghua Airport. They found that floor responses were stronger than structural columns at the same floor, with high-speed trains causing perceptible vibrations.
The U-Shift II project develops a vehicle that can transform into different types of vehicles, such as a shuttle or cargo van, using replaceable capsules. This concept enables flexible adaptation to various tasks, saving resources and promoting sustainable mobility.
The MOVEO general assembly showcased advancements in smart transport connections, with a focus on EU-funded research and innovation. The project aims to unite expertise from nine European countries to improve inspection, monitoring, logistics, mobility, and inclusiveness.
A machine learning model, trained on 19 key parameters, can predict wind shear events with a minimum of 15 seconds warning. The model's outputs showed deviations from real outcomes within 5% across all forecast horizons, suggesting improved aviation safety.
A new study found that protected bike lanes in NYC causally increase Citi Bike ridership, with a statistically significant effect of approximately 379 additional rides per station per month. However, painted bike lanes and sharrows showed no detectable causal effect, highlighting the importance of design details in cycling infrastructure.
SwRI's Intelligent Systems Division has achieved CMMI, ISO 9001, and CMMC certifications to demonstrate its commitment to delivering secure and reliable transportation solutions. The certifications validate SwRI's robust cybersecurity protections and quality management framework.
Researchers at King's College London developed a new algorithm that can automatically explain why some self-driving cars crash. The approach analyzes past events to identify the root cause of failures in complex and rare cases.
Researchers at Texas A&M University are designing how humans will build and survive on the moon, focusing on sustainable construction using lunar regolith. The institution's efforts aim to reduce costs associated with shipping materials to the moon, making it possible to produce rocket propellant locally.
The new center aims to make mobility systems more sustainable and efficient by leveraging AI, autonomy, digital infrastructure, and data-driven decision-making. Stanford faculty members across five schools are affiliated with the center, which will be funded through corporate partnerships.
A research team led by POSTECH developed an AI framework that can predict and account for microscopic defects in metal 3D printing, improving the reliability of metal components. The framework achieves a Mean Absolute Error (MAE) of just 9.51 MPa, outperforming conventional approaches.
A perspective paper on digital transportation explores its basic theories and proposed research directions. The author highlights the need for a comprehensive theoretical framework to guide the development of modern vehicles and digital transformation of transportation infrastructure.
Researchers from OU's Gallogly College of Engineering are developing autonomous cargo carriers to optimize logistics along the I-40 corridor in rural and tribal regions. The project aims to improve safety, efficiency, and reduce crash risks through autonomous vehicle technology.
A new study by Florida Atlantic University researchers highlights the role of urban planning in increasing pedestrian and bicyclist fatalities in the US. The study reveals that everyday destinations like grocery stores and pharmacies along busy roads significantly increase risk of serious injury or death.
Researchers at NTNU have developed a model that calculates which high-speed passenger routes can be operated with zero-emission express ferries. The study shows that a combination of batteries and fuel cells is necessary to meet the goal, emphasizing the importance of smart energy management.
A new study developed a multi-scale dynamic driving environment to assess the impact of daily driving behavior on electric vehicle battery health. The framework uses deep reinforcement learning to optimize battery health and energy efficiency, and its results show that stable driving behavior can extend battery lifetime by approximatel...
A new artificial intelligence framework called SS-MA-PPO treats mandatory lane-change control as a coordinated multi-agent problem, enabling CAVs to effectively coordinate with surrounding vehicles. The framework consistently delivered the best performance in terms of delay, waiting time, fuel consumption, and stop-and-go frequency.
Researchers proposed a dynamically expandable learning framework for interactive trajectory prediction to enable models to adapt to evolving traffic environments. The approach effectively mitigates catastrophic forgetting and maintains stable predictions for critical interaction scenarios across multiple learning stages.
Researchers propose a novel latency-aware trajectory prediction framework, LatenAux, empowered by a consolidated auxiliary learning paradigm. The framework transforms latency from a hindrance into an opportunity for improved performance. Extensive experiments validate its effectiveness and superiority.
Researchers developed a novel approach to personalize travel behavior analysis without centralizing sensitive user data. The IPC-FM framework achieves high accuracy and adapts quickly to new users, offering a customizable solution for individual mobility needs.
KEPT, an AI system, combines video understanding with a memory of similar past scenes to help self-driving cars predict their own short-term path more safely. The system uses a fast and lightweight retrieval module to reduce prediction errors and potential collisions.
Researchers developed a modular, edge-intelligent framework called mOS to address limitations of existing V2X-based systems. The study demonstrates the feasibility of MR-integrated infrastructure intelligence and offers a scalable pathway for deploying AV coordination systems.
A new deep learning framework has been developed to improve the accuracy of vehicle re-identification in large-scale drone-based traffic monitoring. By integrating visual and temporal information, the approach delivers significant improvements over traditional vision-only methods.
Researchers propose TrafficPerceiver, a unified multimodal framework that supports coarse-grained scene understanding tasks and fine-grained target-oriented segmentation tasks. The method achieves superior performance on the CTSU dataset, demonstrating its potential for building robust traffic perception systems.
A new study finds that aggressive policy action and cost reductions can accelerate the global shift to electric vehicles, reducing energy use and carbon emissions. The study suggests a uniform 20% reduction in non-energy costs could dramatically increase EV adoption rates, with market share rising from 25-50% to 70-85% globally by 2035.
The AUMOVIO-NTU Corporate Lab will focus on areas like AI, sustainability, novel materials, and connectivity to develop solutions for safer, smarter, and more sustainable transportation. The joint lab aims to accelerate innovations that can support Singapore's future mobility ecosystem.
A study by researchers at Pohang University of Science & Technology discovered that engineered disorder can amplify transverse electron transport in magnetic materials. The findings suggest that deliberately using disorder in materials design could lead to new opportunities in spintronics and thermoelectric energy-conversion technologies.
Researchers examined how autonomous vehicles affect morning commutes and parking in business districts, finding that AVs could increase vehicle hours and miles traveled. Urban planners can adapt policies to accommodate AVs by adjusting parking fees or infrastructure, reducing total system cost by up to 28.5 percent.
Researchers have created a carbon-fiber composite that swallows sound waves while retaining the strength of industrial load-bearing panels. The design achieves an average sound absorption coefficient of over 0.9 across a frequency range of 1,500 to 5,500 hertz.
Researchers suggest changing flight paths to avoid contrails could slash aviation's global warming impact by nearly half. Implementing such a policy could recover around 9% of the temperature budget the world has left before breaching the Paris Agreement's 2°C limit.
The study analyzed 430 test runs in Mannheim and Friedrichshafen, finding that autonomous shuttles can make everyday trips easier, replacing car trips. Users are open to technology as long as they feel safe, and responsibilities need to be clearly defined for reliable operation.
A Norwegian University of Science and Technology study highlights seafarers' concerns about autonomous ships' technical safety, trust in technology, and crew competence. The researchers aim to ensure safer use of advanced technology and increase seafarers' trust in autonomy by addressing the challenges highlighted by the seafarers.
Researchers at Tokyo Metropolitan University have created a rotating tabletop device to test dynamic wireless power transfer for electric vehicles. They successfully replicated conditions of a car moving at 40 kilometers per hour, promising accelerated research into next-gen charging.
Researchers demonstrated a breakthrough in microrobotics: swarms of magnetic microrobots can manipulate objects without physical contact by harnessing fluid-generated torque. The microrobots act as motors to move millimeter-sized passive objects, opening new pathways for precision manufacturing and biomedical applications.
Researchers at KIT have achieved a significant milestone in compressorless hydrogen gas turbine technology, extending runtime to over five minutes. The innovation saves energy and increases efficiency by utilizing pressure-gain combustion, making it an attractive option for fossil-free energy systems.
The article highlights the psychological demands of self-driving cars on human brains, citing Professor McLeod's research and personal experience. He emphasizes the need for clearer interfaces, simulation-based training, and updated driving tests to address these challenges and ensure safe automation uptake across society.
A new model maps foot traffic in New York City, providing insights into pedestrian activity and hazard locations. The study reveals high densities of foot traffic outside Manhattan, with many streets having similar foot-traffic levels to Manhattan's busiest areas.
NTU Singapore has unveiled its first locally designed and built full-sized eVTOL aircraft technology demonstrator, combining aerodynamic efficiency with hovering capability. The aircraft was developed over three years by researchers and engineers, powered by NTU-designed electric motors and featuring eight lift rotors.
LIST's patented infrared welding process enables rapid assembly of thick carbon-fibre-reinforced thermoplastic components, reducing weight, costs and environmental impact. The innovation is estimated to reduce CO2 emissions by 12.5 tonnes per wing rib.
Researchers at the University of Michigan developed a pair of sensors that can detect ice and freezing rain, alerting pilots to potential hazards and reducing crashes. The sensors use microwaves and lasers to detect ice on planes and roads, potentially saving lives by slowing down drivers and preventing accidents.
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.
The Journal of Intelligent and Connected Vehicles is transitioning to an open-access platform on SciOpen, providing barrier-free access to cutting-edge research. The journal aims to foster greater global collaboration and leverage modern publishing infrastructure.
The journal will be published on SciOpen, a platform dedicated to high-quality open research dissemination. Starting Jan 1, 2026, all new submissions must be directed through the journal's submission portal.
A new study by MIT researchers reveals that cities with strong airline connections are more likely to attract multinational firms, particularly in knowledge industries. The study analyzed 7.5 million firms in 800 cities and found that direct flights lead to a 20% increase in subsidiaries, compared to cities with only one-stop connections.
Researchers developed PriorFusion, integrating semantic, geometric, and generative shape priors to improve road element perception in complex urban scenarios. The method outperforms state-of-the-art methods in difficult scenarios like intersections and occluded areas, achieving an overall mAP of 70.4%.
Researchers at National University of Singapore used machine learning models to predict traffic congestion in Alameda County before, during, and after the pandemic. The study found that Bi-LSTM models were more accurate than traditional forecasting tools and provided transparent insights into the drivers of congestion changes.