University Transportation Centers
USDOT’s University Transportation Centers (UTC) Program, launched in 1988, awards and administers grants to consortia of colleges and universities across the United States. Each UTC forms a unique center of transportation excellence on a specific research topic. The UTC Collection brings together the research outputs of these consortia. To learn more about the UTC program , visit https://www.transportation.gov/content/university-transportation-centers. Bookmark this collection: https://rosap.ntl.bts.gov/collection_utcp or https://doi.org/10.21949/1530855.
- Brief 1
- Dataset 3
- Other 1
- Tech Report 17
- Acevedo, Lorraine 2
- Anania, E C 1
- Baugh, Bradley S 1
- Capps, John 1
- Feng, Ke 1
- Karnati, Kavya 1
- Lim, Bee-Ling 1
- Liu, Dahai 10
- Liu, Yongxin 3
- Mayeux, Corey R 3
- Meier-Dornberg, Marc 1
- Milner, Mattie N 1
- Mwangi, Wairimu 1
- Namilae, Sirish 7
- Pan, Jing Yu 3
- Park, Hyoshin 1
- Parr, Scott A. 12
- Ragbir, Nadine K 1
- Rice, Stephen 1
- Rooze, Stefan 1
- Shellenberger, Erika 1
- Song, Houbing 2
- Winter, Scott R 1
- Wolshon, Brian 8
- Yang, Yupeng 2
- Yu, Jiahao 1
- Zhou, Yujing 2
- Embry-Riddle Aeronautical University (22)
- Center for Advanced Transportation Mobility, North Carolina A&T State University 8
- Maritime Transportation Research and Education Center (MarTREC) 8
- North Carolina A&T Sate University. Transportation Institute. Center For Advanced Transportation Mobility 5
- United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology 1
- Access control (Communications) 1
- Aircraft cabins 1
- Airport evacuation 1
- airport evacuation 1
- Airport operations 1
- Airports 2
- Airspace utilization 1
- Air traffic 1
- Air traffic control 1
- Air transportation 1
- Akaike Information Criterion (AIC) 3
- Algorithms 1
- Analysis 1
- Artificial intelligence 2
- Attitudes 2
- Autonomous vehicles 1
- Aviation safety 1
- Behavior 1
- Best practices 2
- Coasts 5
- Communicable diseases 3
- Conferences 1
- Cooperation 1
- Corridors 1
- COVID-19 9
- COVID-19 impact 1
- Crash analysis 1
- Crash data 1
- Crowds 1
- Data 2
- Decision making 1
- Decision support systems 1
- Decision theory 1
- Demographics 1
- Disaster resilience 2
- Disasters and emergency operations 3
- Dynamic Airspace Configuration 1
- Electronic commerce 2
- Emergencies 4
- emergency evacuation 1
- Emotions 1
- Environmental factors 1
- Environmental impacts 1
- Epidemiology 1
- Evacuation 7
- Evaluation and assessment 1
- experimental design 1
- explainable AI 1
- Face mask 1
- First responders 1
- Forecasting 2
- Freight traffic 4
- Freight transportation 2
- Gender 1
- Global Positioning System 1
- High-speed rail in the US 1
- High-speed rail in USA 1
- High speed rail 2
- Highways 1
- Highway traffic 1
- HSR passengers’ segments 1
- Hurricanes 3
- Impacts 6
- Indicators (Instruments) 1
- infection 1
- Intention to use HSR 1
- Intermodal choice 1
- Intermodal transportation 1
- Learning 1
- Literature reviews 3
- Machine learning 3
- Mapping 1
- Mask-wearing intention 1
- Mask policy 1
- Mathematical models 1
- Mediating effect of attitude 1
- Mediation 3
- Mediation, moderation, and moderated mediation analyses 1
- Mobility 4
- Mode choice 1
- Mode shift intentions 1
- Multi-agent collaboration 2
- Multimodal transportation 1
- Network analysis (Planning) 2
- optimal scheduling 1
- pandemic 1
- Pedestrian movement 2
- Pedestrians 1
- Pedestrian traffic 1
- Personal protective equipment 1
- Point-process model 3
- Policy 1
- Policy making 1
- Port districts 2
- Port operations 2
- Ports 2
- Project management 1
- Railroads 1
- Regression analysis 1
- Reinforcement Learning 2
- Research projects 1
- Route choice 1
- Safety programs 1
- Scheduling 1
- Secondary crashes 3
- Service disruption 3
- Shipping 2
- Simulation 1
- Spatial analysis 1
- Statistical analysis 1
- Supply chain management 2
- Susceptible-Infected-Recovered model 1
- Technology transfer 1
- Theory of planned behavior 1
- Time 1
- Traffic flow 2
- Transportation 2
- Transportation safety 1
- Travel behavior 3
- Vulnerable road users 1
- Wildfires 2
- willingness 1
(Max 200)
- Acevedo, Lorraine (2)
- Anania, E C (1)
- Baugh, Bradley S (1)
- Capps, John (1)
- Feng, Ke (1)
- Karnati, Kavya (1)
- Lim, Bee-Ling (1)
- Liu, Dahai (10)
- Liu, Yongxin (3)
- Mayeux, Corey R (3)
- Meier-Dornberg, Marc (1)
- Milner, Mattie N (1)
- Mwangi, Wairimu (1)
- Namilae, Sirish (7)
- Pan, Jing Yu (3)
- Park, Hyoshin (1)
- Parr, Scott A. (12)
- Ragbir, Nadine K (1)
- Rice, Stephen (1)
- Rooze, Stefan (1)
- Shellenberger, Erika (1)
- Song, Houbing (2)
- Winter, Scott R (1)
- Wolshon, Brian (8)
- Yang, Yupeng (2)
- Yu, Jiahao (1)
- Zhou, Yujing (2)
- Center for Advanced Transportation Mobility, North Carolina A&T State University (8)
- Maritime Transportation Research and Education Center (MarTREC) (8)
- North Carolina A&T Sate University. Transportation Institute. Center For Advanced Transportation Mobility (5)
- United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology (1)
- Access control (Communications) (1)
- Aircraft cabins (1)
- Airport evacuation (1)
- airport evacuation (1)
- Airport operations (1)
- Airports (2)
- Airspace utilization (1)
- Air traffic (1)
- Air traffic control (1)
- Air transportation (1)
- Akaike Information Criterion (AIC) (3)
- Algorithms (1)
- Analysis (1)
- Artificial intelligence (2)
- Attitudes (2)
- Autonomous vehicles (1)
- Aviation safety (1)
- Behavior (1)
- Best practices (2)
- Coasts (5)
- Communicable diseases (3)
- Conferences (1)
- Cooperation (1)
- Corridors (1)
- COVID-19 (9)
- COVID-19 impact (1)
- Crash analysis (1)
- Crash data (1)
- Crowds (1)
- Data (2)
- Decision making (1)
- Decision support systems (1)
- Decision theory (1)
- Demographics (1)
- Disaster resilience (2)
- Disasters and emergency operations (3)
- Dynamic Airspace Configuration (1)
- Electronic commerce (2)
- Emergencies (4)
- emergency evacuation (1)
- Emotions (1)
- Environmental factors (1)
- Environmental impacts (1)
- Epidemiology (1)
- Evacuation (7)
- Evaluation and assessment (1)
- experimental design (1)
- explainable AI (1)
- Face mask (1)
- First responders (1)
- Forecasting (2)
- Freight traffic (4)
- Freight transportation (2)
- Gender (1)
- Global Positioning System (1)
- High-speed rail in the US (1)
- High-speed rail in USA (1)
- High speed rail (2)
- Highways (1)
- Highway traffic (1)
- HSR passengers’ segments (1)
- Hurricanes (3)
- Impacts (6)
- Indicators (Instruments) (1)
- infection (1)
- Intention to use HSR (1)
- Intermodal choice (1)
- Intermodal transportation (1)
- Learning (1)
- Literature reviews (3)
- Machine learning (3)
- Mapping (1)
- Mask-wearing intention (1)
- Mask policy (1)
- Mathematical models (1)
- Mediating effect of attitude (1)
- Mediation (3)
- Mediation, moderation, and moderated mediation analyses (1)
- Mobility (4)
- Mode choice (1)
- Mode shift intentions (1)
- Multi-agent collaboration (2)
- Multimodal transportation (1)
- Network analysis (Planning) (2)
- optimal scheduling (1)
- pandemic (1)
- Pedestrian movement (2)
- Pedestrians (1)
- Pedestrian traffic (1)
- Personal protective equipment (1)
- Point-process model (3)
- Policy (1)
- Policy making (1)
- Port districts (2)
- Port operations (2)
- Ports (2)
- Project management (1)
- Railroads (1)
- Regression analysis (1)
- Reinforcement Learning (2)
- Research projects (1)
- Route choice (1)
- Safety programs (1)
- Scheduling (1)
- Secondary crashes (3)
- Service disruption (3)
- Shipping (2)
- Simulation (1)
- Spatial analysis (1)
- Statistical analysis (1)
- Supply chain management (2)
- Susceptible-Infected-Recovered model (1)
- Technology transfer (1)
- Theory of planned behavior (1)
- Time (1)
- Traffic flow (2)
- Transportation (2)
- Transportation safety (1)
- Travel behavior (3)
- Vulnerable road users (1)
- Wildfires (2)
- willingness (1)
- :Parr, Scott A. ;Acevedo, Lorraine2024-08-31:Mass evacuations, especially at the statewide level, present formidable challenges in traffic management, often characterized by extensive delays and ...
- :Namilae, Sirish ;Liu, Dahai2024-04-01:The ERAU PI team has successfully conducted several CATM research projects over the last five years. Apart from generating several publications, these...
- :Liu, Yongxin ;Liu, Dahai2024-01-01:This project investigates the integration of advanced machine learning and optimization techniques to improve air traffic management during emergencie...
- :Zhou, Yujing ;Yang, Yupeng2024-01-01:This study adopted an A3C algorithm to simulate the evacuation process under different situations (e.g., multiple agents and different environmental c...
- :Pan, Jing Yu2023-12-30:While the US lags behind other nations in high-speed rail (HSR) development, it has seen growing interest in integrating HSR into its transportation n...
- :Parr, Scott A. ;Namilae, Sirish2023-12-01:The transportation industry poses unique risks to first responders, who are frequently called to respond to accidents and emergencies on highways, rai...
- :Parr, Scott A. ;Acevedo, Lorraine2023-12-01:Mass evacuations, especially at the statewide level, present formidable challenges in traffic management, often characterized by extensive delays and ...
- :Parr, Scott A. ;Namilae, Sirish2023-12-01:The purpose of this research was to determine the relationship between traffic movements and COVID-19 infections, and ultimately hospitalizations and ...
- :Mayeux, Corey R ;Parr, Scott A.2023-09-01:The Covid-19 pandemic wrought unparalleled disruptions in global supply chains and port operations, unleashing congestion, delays, and container short...
- :Parr, Scott A. ;Shellenberger, Erika2023-09-01:The goal of this research is to better understand the evacuation of a coastal community, the Florida Keys. This will aid in the planning, mitigation, ...
- :Parr, Scott A. ;Wolshon, Brian2023-09-01:The COVID-19 pandemic resulted in significant social and economic impacts throughout the world. In addition to the health consequences, the impacts on...
- :Mayeux, Corey R ;Parr, Scott A.2023-09-01:The COVID-19 pandemic caused unprecedented disruptions in global supply chains and port operations, leading to congestion, delays, and container short...
- :Mayeux, Corey R ;Parr, Scott A.2023-08-31:The Covid-19 pandemic wrought unparalleled disruptions in global supply chains and port operations, unleashing congestion, delays, and container short...
- :Parr, Scott A. ;Wolshon, Brian2023-08-31:The COVID-19 pandemic resulted in significant social and economic impacts throughout the world. In addition to the health consequences, the impacts on...
- :Feng, Ke ;Liu, Yongxin2023-05-01:In emergency situations, the timely evacuation of people is crucial, and air traffic plays a significant role. Dynamic airspace configuration (DAC) is...
- :Pan, Jing Yu ;Rooze, Stefan2023-05-01:While high-speed rail (HSR) has achieved success in major cities in Europe and Asia, it is a new phenomenon in the US, and few studies on HSR in the U...
- :Namilae, Sirish ;Liu, Dahai2023-04-01:COVID-19 pandemic has resulted in an over 60% reduction in air travel worldwide according to some estimates. The high economic and public perception c...
- Mask-Wearing Intention on Airplanes During COVID-19 – An Extended Theory of Planned Behavioral Model:Pan, Jing Yu ;Liu, Dahai2022-08-31:The COVID-19 pandemic has devastated the air transport industry, forcing airlines to take measures to ensure the safety of passengers and crew members...
- :Namilae, Sirish ;Liu, Dahai2022-07-01:Secondary crashes or crashes that occur in the wake of a preceding or primary crash are among the most critical incidents occurring on highways, due t...
- :Yang, Yupeng ;Yu, Jiahao2022-01-31:Reinforcement learning (RL) has been widely used in intelligent transportation systems, especially under emergent situations, RL can explore the dange...
Exit Notification/Disclaimer Policy
Thank you for visiting.
You are about to access a non-government link outside of the U.S. Department of Transportation's National Transportation Library.
Please note: While links to Web sites outside of DOT are offered for your convenience, when you exit DOT Web sites, Federal privacy policy and Section 508 of the Rehabilitation Act (accessibility requirements) no longer apply. In addition, DOT does not attest to the accuracy, relevance, timeliness or completeness of information provided by linked sites. Linking to a Web site does not constitute an endorsement by DOT of the sponsors of the site or the products presented on the site. For more information, please view DOT's Web site linking policy.
To get back to the page you were previously viewing, click your Cancel button.