Articles tagged with Transportation Engineering
The startup has assessed over 3,400 miles of Indiana roads using advanced computer vision algorithms to quickly and objectively assess pavement conditions. This platform provides actionable insights without requiring in-house data analysis expertise or costly hardware.
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.
Researchers developed a data-driven macroscopic mobility model that relies on simple observations from city planners' routine data collection. The D3M model can accurately represent diverse traffic conditions and simulate complex system-level dynamics.
A recent study published in the Journal of Safety Research found that rented e-bikes have an eight times higher crash risk than rented e-scooters, calculated based on trip distance. The researchers used GPS data to compare micromobility in seven European cities and found a surprising result.
Researchers from Edith Cowan University have developed a method to incorporate waste plastics into pavement material, offering a dual benefit of improving road strength and reducing plastic pollution. The study highlights the potential for repurposing household plastics to create more sustainable and resilient roads.
A transportation system management and operations data exchange solution will be developed by SwRI for the North Central Texas Council of Governments. The platform aims to enhance mobility, safety, and infrastructure management in the region. It will serve as a regional clearinghouse for real-time transportation system data.
The $2.5 million DRIFT program aims to close critical talent gaps and safeguard connected vehicles by providing specialized online and in-person training. Worcester Polytechnic Institute will lead the university’s DRIFT program, offering tuition-free modules and real-world training to upskill engineers and professionals.
The book provides a roadmap for sustainable and ethical leadership in engineering management, focusing on ESG reporting, CSR integration, and industry-specific insights. It offers practical tools and strategies for professionals to make informed decisions that reduce ecological impact and improve resource efficiency.
The study assesses autonomous vehicle adaptability on small-radius circular curves, showing ride comfort degrades to
The DFUN-KDF framework uses federated knowledge distillation to enable UAVs to extract information from embedded data and update their local models, reducing energy consumption and improving adaptability. The framework's filtering mechanism eliminates biased embeddings, ensuring the stability and reliability of the system.
Researchers have developed a world-first system of rubber shock absorbers made from recycled tyres, significantly protecting railway tracks from damage. The technology reduces degradation and increases stability, saving millions of dollars annually for the Australian rail industry.
Shanjiang Zhu is conducting a study on utilizing big data to improve the accuracy of route choice models in travel demand modeling. The research aims to address challenges related to data bias, size, and integration with theoretical assumptions, aiming to develop new methods for improving modeling practices.
A study of 200 pilots found that errors caused by lack of skills or poor decisions often contributed to inflight loss of control incidents. The research highlights the need for better pilot training, particularly in recovering from out-of-control situations like spins and spirals.
A UBC Okanagan research team has developed TrajReducer, an AI system that accurately predicts vessel destinations by analyzing ship trajectories and patterns. This technology can help Canadian ports adapt quickly to global supply chain disruptions and improve operational efficiency.
A new study by Carnegie Mellon University researchers suggests that investing in EV charging infrastructure is more effective than offering consumer tax credits to boost adoption. The study found that increasing EV adoption could reduce emissions by 51% and increase sales by 26% by building Level 3 fast-charging stations.
A new study found that augmented reality can significantly increase trust in autonomous vehicles by adding, modifying or removing driving-related information. The technology uses sensors to deliver real-time data, ensuring drivers stay focused on the road while accessing critical info.
A new analysis from UC Davis suggests that lithium-ion battery recycling could play a big role in meeting growing global demand for lithium, potentially reducing the need for new mines. Recycling could mitigate supply constraints and reduce carbon emissions associated with combustion engine vehicles.
Researchers at MIT have developed a new fuel cell that can carry three times as much energy per pound as current EV batteries, offering a lightweight option for electrifying transportation systems. The technology has the potential to enable electric aviation and other sectors like marine and rail transportation.
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.
A synthetic lichen system developed by Texas A&M researchers enables concrete to heal itself without outside intervention. This innovation uses cyanobacteria and filamentous fungi to produce crack-filling minerals, setting it apart from previous self-healing concrete endeavors.
Researchers developed a percolation-based framework to analyze Beijing's urban rail transit system resilience under various operating schemes. The framework utilizes multi-source data and identifies key bottlenecks, revealing improved network connectivity during peak hours.
Researchers from Osaka Metropolitan University developed an explainable AI model for ship navigation that explains the basis for its decisions and intentions using numerical values. This technology aims to increase trust among maritime workers and contribute to the realization of unmanned ships.
A new AI-powered training platform is being developed to simulate pipeline incidents and provide real-world scenarios for pipeline operators. The platform will use artificial intelligence to create a realistic environment where teams can practice handling hazardous conditions and responding to emergencies.
Researchers developed an integrated technology framework for urban transportation demand simulation and prediction. The framework incorporates various variables to capture inter-submodule interactions, achieving accurate predictions of up to 85%. It leverages spatiotemporal big data for fine-grained forecasts at a kilometer grid scale.
University of Missouri researchers developed a method using lidar and AI to analyze pedestrian, cyclist, and vehicle interactions at traffic signals. The approach aims to enhance driver awareness, reduce accidents, and improve mobility.
Researchers at PSU used ODOT's push-button data to estimate pedestrian counts, develop a workflow for integrating traffic counts into the enterprise system, and explore applications in pedestrian infrastructure planning. The new dashboard allows agencies to analyze usage patterns and prioritize upgrades at high-demand locations.
Researchers at KIT successfully integrate co-electrolysis into synthetic fuel production, achieving up to 85% efficient energy recovery. The Kopernikus P2X project aims to produce one tonne of kerosene per day using this technology.
KIT will present innovative technologies such as optical meta surfaces, smart earphones, and sustainable cooling solutions at Hannover Messe 2025. The showcase highlights the institution's commitment to addressing global challenges like climate change and energy transition.
Researchers propose a novel framework to model stochastic fundamental diagrams from microscopic interactions, deepening understanding of traffic flow's stochasticity. The Leader-Follower Conditional Distribution-based Stochastic Traffic Modeling (LFCD-STM) framework offers high consistency with real-world data and has implications for ...
The University of Michigan is merging its transportation safety research with automated vehicle testing to improve roadway safety. The move marks the institution's 60th anniversary and includes Mcity, a public/private partnership test facility, to develop connected and automated vehicle technologies.
UTA's expansion of its undergraduate research program has enabled students to present their work at major symposiums, including the American Institute of Aeronautics and Astronautics conference. The program has strengthened students' commitment to pursuing graduate studies in various fields.
APTE 2025 aims to address transportation challenges through innovative solutions while promoting inclusivity, reliability, and sustainability. Researchers are invited to submit papers on emerging transportation solutions for building efficient, sustainable, reliable, and inclusive transport systems.
A new study by Alexandra Murphy reveals that 36% of Detroit residents struggle with safe and timely transportation, impacting quality of life and community well-being. The Transportation Security Index (TSI) measures this issue, highlighting the need for targeted policy responses to address individual challenges.
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.
APTE 2025 focuses on emerging solutions to address transportation challenges while promoting inclusivity, reliability, and sustainability. The conference invites submissions on a broad range of topics related to transportation and the environment.
The Mcity Test Facility's first open-source digital twin enables researchers to test autonomous algorithms in a virtual environment. The digital twin introduces real-world data and simulated safety-critical events, accelerating the development of connected and automated vehicle software.
Researchers developed novel materials with superhydrophobic properties by grafting hydrocarbon chains to thin MOF films, achieving water contact angles of over 160 degrees. The unique arrangement of the grafted chains creates a high-entropy state essential for their hydrophobic behavior.
The Journal of Intelligent and Connected Vehicles has been officially included in the ESCI, a core collection of the Web of Science under Clarivate Analytics. The journal's CiteScoreTracker 2024 is currently at 11.0, indicating its growing impact factor.
Researchers analyzed real-time data from over 50,000 public EV charging stations to understand demand and peak times. The study found high demand during working hours in California and identified potential inequities in access to EV charging facilities across diverse communities.
COMMTR has been officially included in both the Science Citation Index Expanded (SCIE) and the Social Sciences Citation Index (SSCI), achieving a first Impact Factor of 12.5. This dual inclusion signifies that the journal meets stringent criteria for quality, influence, international presence, and standardization.
This special issue aims to celebrate and amplify the voices of women scientists in transportation, highlighting their groundbreaking research and insights. It seeks to promote gender equality and encourage more women to pursue careers in transportation research and development.
Researchers examined how fleet size, user demand, regulatory policies, and economic factors interact to shape shared micromobility systems. Financial incentives, such as fee reductions and government subsidies, significantly increase user adoption and profitability.
A new study uses machine learning to predict pedestrian crash frequency by severity levels, providing insights for road authorities to prioritize actions. The research demonstrates a significant increase in performance compared to conventional methods.
Researchers examine how fleet size, user demand, regulatory policies, and economic factors interact in shared micromobility fleet development. Financial incentives like fee reductions and government subsidies increase user adoption and profitability, while careful operational fee management maintains service appeal.
The study introduces ϵ-controllability and its testing method for datatic control systems, extending traditional controllability to a point-to-region form. A tree search algorithm called MECS is proposed for testing ϵ-controllability of datatic control systems.
A team of University of Houston engineers developed an AI tool to predict and control pandemic spread by analyzing international air travel. The analysis found that reducing flights in Western Europe can lead to fewer global COVID-19 cases, making it a key strategy for controlling the pandemic.
Researchers from Tsinghua University Press propose a novel simulation platform for on-demand ride service operations, providing a fair and public test bed for comparing optimization algorithms. The simulator efficiently tests various tasks related to on-demand matching, idle vehicle repositioning, and dynamic pricing.
A study found that ride-hailing apps like Uber and Lyft mitigate the impact of driver racial discrimination on wait times, but systemic segregation persists. The research estimated that at least 3% of drivers must be discriminating based on race to produce cancellation disparities.
The new ERC EARTH research center will focus on developing sustainable refrigerant technologies and practices to improve quality of life and combat climate change. Lehigh University's team, led by David Vicic, will work on reclamation and repurposing of high-GWP legacy refrigerants.
A new MIT study analyzes airline safety trends over the past few decades and finds that commercial flight has become roughly twice as safe each decade since the 1960s. The study estimates that passengers are about 39 times safer than they were in the 1968-1977 period, with a 1 in 13.7 million risk of fatality per boarding.
The study explores the role of helical secondary structure in enhancing conductivity and stability of solid-state peptide polymer electrolytes. Longer helices lead to higher conductivity and increased overall stability, making these materials more viable for energy storage systems.
A new model, PAG-STAN, predicts short-term origin-destination demand in urban rail transit systems with remarkable precision. The model improves interpretability and enhances training efficiency through a masked physics-guided loss function.
New studies from Chalmers University of Technology suggest that hydrogen-powered aircraft could meet the needs of 97% of intra-Nordic flights and 58% of Nordic passenger volume by 2045. A novel heat exchanger technology has shown promise in reducing fuel consumption by almost eight percent.
Researchers created microscopic vehicles propelled by swimming green algae, which can be maneuvered by the algae. The team developed two types of vehicles: the rotator and the scooter, with the latter displaying erratic rolling motions.
Researchers found raw material demand for electric vehicles will nearly double by 2050 if current trends continue. Implementing circular economy strategies such as ride-sharing, recycling, and solid-state batteries can halve resource demand or maintain it at 2015 levels.
Researchers at the University of Michigan explored teledriving as a bridge to autonomous taxis, finding that it can reduce wait times, improve safety, and increase driver utilization. Teledriving allows drivers to connect with available vehicles remotely, reducing idle time and improving service quality.
Researchers used synthetic population data to assess equity impacts of transportation investments in New York State, finding that microtransit services were more viable in disadvantaged areas. The study's findings aim to create a way to analyze and allocate transportation resources nationally for equitable outcomes.
The report highlights the benefits of developing transit station areas with a focus on housing, including reduced greenhouse gas emissions and increased walkability. Researchers recommend policy approaches to mitigate gentrification outcomes and bridge the gap between demand for walkable communities and supply.
Researchers at Huazhong University have developed a revolutionary method for fast and accurate topology identification in complex dynamical networks. The new approach, FT-TIDCN, leverages finite-time stability theory to identify network topologies swiftly, addressing a common challenge in network science.
The CAVG model employs a cross-modal attention mechanism to align textual instructions with visual scenes, enabling passengers to issue voice commands to control the vehicle. The study achieves remarkable efficiency by establishing new benchmarks on the Talk2Car dataset.