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University Transportation Centers University Transportation Centers

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.

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    Traffic signal timing (64)
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  • Traffic signal (64) Remove Filter
  • Addressing Urban Traffic Congestion A Deep Reinforcement LearningBased Approach
    Addressing Urban Traffic Congestion: A Deep Reinforcement Learning-Based Approach
    :
    Liu, Tairan
    2025-06-01
    :
    In an innovative venture, the research team embarked on a mission to redefine urban traffic flow by introducing an automated way to manage traffic lig...
  • Addressing Urban Traffic Congestion A Deep Reinforcement LearningBased Approach Brief
    Addressing Urban Traffic Congestion: A Deep Reinforcement Learning-Based Approach [Brief]
    :
    Liu, Tairan
    2025-06-01
    :
    In an innovative venture, the research team embarked on a mission to redefine urban traffic flow by introducing an automated way to manage traffic lig...
  • CordonMetering Rules for PresentDay and Future Cities
    Cordon-Metering Rules for Present-Day and Future Cities
    :
    Li, Xiaopeng ;
    Li, Yang
    2025-01-01
    :
    Connected and Automated Vehicles (CAVs) play a pivotal role in alleviating urban road network congestion. This study adopts a macroscopic approach to ...
  • CordonMetering Rules for PresentDay and Future Cities Brief
    Cordon-Metering Rules for Present-Day and Future Cities [Brief]
    :
    Li, Xiaopeng ;
    Li, Yang
    2025-01-01
    :
    Connected and Automated Vehicles (CAVs) play a pivotal role in alleviating urban road network congestion. This study adopts a macroscopic approach to ...
  • Transit Signal Priority Control With Connected Vehicle Technology Deep Reinforcement Learning Approach
    Transit Signal Priority Control With Connected Vehicle Technology: Deep Reinforcement Learning Approach
    :
    Fan, Wei ;
    Yang, Tianjia
    2024-09-01
    :
    Transit Signal Priority (TSP) is a traffic signal control strategy that can provide priority to transit vehicles and thus improve transit service. How...
  • Enabling GLOSA through Domain Knowledge Aware SPAT Prediction and Queue Length Aware Trajectory Optimization
    Enabling GLOSA through Domain Knowledge Aware SPAT Prediction and Queue Length Aware Trajectory Optimization
    :
    Shafik, Amr ;
    Eteifa, Seifeldeen
    2024-08-29
    :
    This research presents a novel approach to enhancing Green Light Optimal Speed Advisory (GLOSA) systems by predicting signal phase and timing (SPaT) s...
  • Supply Management of Auto Traffic to Address Starvation of Green in Multimodal Environments
    Supply Management of Auto Traffic to Address Starvation of Green in Multimodal Environments
    :
    Florence, David ;
    Shah, Niyati
    2024-01-01
    :
    Traffic congestion is challenging to resolve at closely spaced, oversaturated intersections. This condition leads to underutilization of green time at...
  • Data Fusion for Signalized Arterial Performance Measurement
    Data Fusion for Signalized Arterial Performance Measurement
    :
    Samandar, Shoaib ;
    Rouphail, Nagui
    2023-09-11
    :
    This project focused on three applications of multiple data sources, or data fusion, to evaluate traffic operations on signalized arterials. The first...
  • Developing Robust Smart Traffic Signal Control
    Developing Robust Smart Traffic Signal Control
    :
    Li, Tianxin ;
    Machemehl, Randy
    2023-09-01
    :
    Traffic signal control is a crucial element of urban mobility that profoundly influences transportation network efficiency and safety. Traditional tra...
  • Alleviating Traffic Congestion Developing and Evaluating Novel MultiAgent Reinforcement Learning Traffic Light Coordination Techniques
    Alleviating Traffic Congestion: Developing and Evaluating Novel Multi-Agent Reinforcement Learning Traffic Light Coordination Techniques
    :
    Fang, Fei ;
    Sadeh, Norman
    2023-07-01
    :
    Traffic congestion costs American cities tens of billions of dollars per year, not to mention its negative impact on the environment or people’s men...
  • Machine LearningBased HighFidelity Mesoscopic Modeling Tool for Traffic Network Optimization Supporting Dataset
    Machine Learning-Based High-Fidelity Mesoscopic Modeling Tool for Traffic Network Optimization [Supporting Dataset]
    Dataset Icon
    :
    Heckendorn, Robert B
    2023-06-13
    :
    Traffic signal control of the future will adapt in real time to traffic, driving, and environmental conditions. The adaptations will require real-time...
  • Machine LearningBased HighFidelity Mesoscopic Modeling Tool for Traffic Network Optimization
    Machine Learning-Based High-Fidelity Mesoscopic Modeling Tool for Traffic Network Optimization
    :
    Heckendorn, Robert B ;
    Eapen, Neeta A
    2023-06-01
    :
    Traffic signal control of the future will adapt in real time to traffic, driving, and environmental conditions. The adaptations will require real-time...
  • RealTime DataBased Decision Support System for Arterial Traffic Management
    Real-Time Data-Based Decision Support System for Arterial Traffic Management
    :
    Hadi, Mohammed ;
    Elefteriadou, Lily
    2023-04-20
    :
    This study developed and evaluated a TRPS strategy based on supervised and unsupervised machine learning combined with signal timing optimization to a...
  • Ecofriendly Cooperative Traffic Optimization at Signalized Intersections Supporting Dataset
    Eco-friendly Cooperative Traffic Optimization at Signalized Intersections [Supporting Dataset]
    Dataset Icon
    :
    Hao, Peng ;
    Oswald, David
    2023-03-01
    :
    Surface transportation systems (e.g., arterial roadways with signalized intersections) are inherently inefficient, particularly at higher traffic volu...
  • Ecofriendly Cooperative Traffic Optimization at Signalized Intersections
    Eco-friendly Cooperative Traffic Optimization at Signalized Intersections
    :
    Hao, Peng ;
    Oswald, David
    2023-02-01
    :
    Surface transportation systems (e.g., arterial roadways with signalized intersections) are inherently inefficient, particularly at higher traffic volu...
  • Traffic Signal Plans to Decongest Street Grids Policy Brief
    Traffic Signal Plans to Decongest Street Grids [Policy Brief]
    :
    Cassidy, Michael J. ;
    Daganzo, Carlos F.
    2022-10-01
    :
    The strategy retains excellent synchronization on these paths when adapting to residual queues. The synchronization is altered in these cases simply b...
  • Integrated Optimization of Vehicle Trajectories and Traffic Signal Timings System Development and Testing
    Integrated Optimization of Vehicle Trajectories and Traffic Signal Timings: System Development and Testing
    :
    Chen, Hao ;
    Rakha, Hesham A.
    2022-09-01
    :
    This research develops a two-layer optimization approach that provides energy-optimal control for vehicles and traffic signal controllers. The first l...
  • Coordinated Intersection Control Through Reinforcement Learning with Special Consideration of Freight Traffic
    Coordinated Intersection Control Through Reinforcement Learning with Special Consideration of Freight Traffic
    :
    Ma, Chaolun ;
    Wang, Bruce
    2021-12-14
    :
    This project specially studies signal timing with special consideration of freight traffic in urban areas. The rationale is that freight logistics are...
  • Estimating Switching Times of Actuated Coordinated Traffic Signals A Deep Learning Approach
    Estimating Switching Times of Actuated Coordinated Traffic Signals: A Deep Learning Approach
    :
    Eteifa, Seifeldeen ;
    Rakha, Hesham A.
    2021-11-01
    :
    Acceleration and deceleration maneuvers at signalized intersections are a major hindrance to fuel-efficient vehicle operations. Green Light Optimal Sp...
  • Comparing Combining Existing Emerging Data Collection Modeling Strategies in Support of Signal Control Optimization Management
    Comparing & Combining Existing & Emerging Data Collection & Modeling Strategies in Support of Signal Control Optimization & Management
    :
    Hadi, Mohammed ;
    Sisiopiku, Virginia
    2021-09-14
    :
    For decades, traffic signal management agencies have used signal timing optimization tools combined with fine-tuning of signal timing based on field o...
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