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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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2024 1
2016 3
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CMU-RI-TR-16-18 1

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Risk Aware Warning and Control for Interactive Traffic Safety

CITE Title : Risk Aware Warning and Control for Interactive Traffic Safety Creator(s) : Dolan, John M;Lyu, Yiwei;Schulte, Paul; Corporate Creator(s) : Carnegie Mellon University. Traffic21 University Transportation Center (UTC);Carnegie-Mellon University. Robotics Institute; Corporate Contributor(s) : United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology; Published Date : 2024-07-31 Report Number : 428 URL : /view/dot/77710 "Risk Aware Warning and" (2024). "Risk Aware Warning and Control for Interactive Traffic Safety" (2024) "Risk Aware Warning and Control for Interactive Traffic Safety" , 2024 Export RIS Citation Information.

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Dolan, John M ;

Lyu, Yiwei

2024-07-31

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In this project, we proposed a CBF-inspired risk assessment toolbox, measuring the aggregated risk faced by individual agents due to multi-agent inter...
Monitoring and Predicting Pedestrian Behavior at Traffic Intersections

CITE Title : Monitoring and Predicting Pedestrian Behavior at Traffic Intersections Creator(s) : Navarro-Serment, Luis E. Corporate Creator(s) : Carnegie-Mellon University. Robotics Institute Corporate Contributor(s) : Rapid Flow Technologies;University Transportation Centers Program (U.S.); Contributor(s) : Beisy Cruz, Ana;Do, Youngwook;Dutta, Praneet;Manikavasegam, Venkatesh;Reddy Guduru, Meghana; Published Date : 2016-10-14 URL : /view/dot/36753 "Monitoring and Predicting Pedestrian" (2016). "Monitoring and Predicting Pedestrian Behavior at Traffic Intersections" (2016) "Monitoring and Predicting Pedestrian Behavior at Traffic Intersections" , 2016 Export RIS Citation Information.

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Navarro-Serment, Luis E.

2016-10-14

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Most traffic intersections lack awareness of pedestrian traffic: their perception abilities—when available—are usually limited to the detection of...
Adaptive Kalman Filtering Methods for Low-Cost GPS/INS Localization for Autonomous Vehicles

CITE Title : Adaptive Kalman Filtering Methods for Low-Cost GPS/INS Localization for Autonomous Vehicles Creator(s) : Werries, Adam;Dolan, John; Corporate Creator(s) : Carnegie-Mellon University. Robotics Institute Corporate Contributor(s) : Technologies for Safe and Efficient Transportation. University Transportation Center;United States. Department of Transportation. University Transportation Centers (UTC) Program; Published Date : 2016-05-01 Report Number : CMU-RI-TR-16-18 DOI : https://doi.org/10.1184/R1/6551687 "Adaptive Kalman Filtering Methods" (2016). https://doi.org/10.1184/R1/6551687 "Adaptive Kalman Filtering Methods for Low-Cost GPS/INS Localization for Autonomous Vehicles" (2016), https://doi.org/10.1184/R1/6551687 "Adaptive Kalman Filtering Methods for Low-Cost GPS/INS Localization for Autonomous Vehicles" , 2016, https://doi.org/10.1184/R1/6551687 Export RIS Citation Information.

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Werries, Adam ;

Dolan, John

2016-05-01

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For autonomous vehicles, navigation systems must be accurate enough to provide lane-level localization. High-accuracy sensors are available but not co...
Accident Investigation with 3D Models from Images

CITE Title : Accident Investigation with 3D Models from Images Creator(s) : Mertz, Christoph Corporate Creator(s) : Carnegie-Mellon University. Robotics Institute;University of Pennsylvania; Corporate Contributor(s) : United States. Dept. of Transportation. Office of the Assistant Secretary for Research and Technology;Technologies for Safe and Efficient Transportation. University Transportation Center; Published Date : 2016-01-01 URL : /view/dot/37156 "Accident Investigation with 3D" (2016). "Accident Investigation with 3D Models from Images" (2016) "Accident Investigation with 3D Models from Images" , 2016 Export RIS Citation Information.

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Mertz, Christoph

2016-01-01

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Vehicular accidents are one of the great societal challenges. In some demographics, they are the leading cause of death. It is important that accident...
Optimizing snow plowing operations in urban road networks : final research report.

CITE Title : Optimizing snow plowing operations in urban road networks : final research report. Creator(s) : Kinable, Joris;Smith, Stephen F.;van Hoeve, Willem; Corporate Creator(s) : Carnegie-Mellon University. Robotics Institute;Carnegie-Mellon University. Tepper School of Business; Corporate Contributor(s) : University Transportation Centers Program (U.S.) Published Date : 2015 URL : /view/dot/31299 "Optimizing snow plowing operations" (2015). "Optimizing snow plowing operations in urban road networks : final research report." (2015) "Optimizing snow plowing operations in urban road networks : final research report." , 2015 Export RIS Citation Information.

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Kinable, Joris ;

Smith, Stephen F.

2015

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Due to the disruptive effect of snowstorms on cities, both in terms ofmobility and safety, the faster the streets can be cleared the better. Yet inmos...
Sensory Augmentation for Increased Awareness of Driving Environment [2014]

CITE Title : Sensory Augmentation for Increased Awareness of Driving Environment [2014] Creator(s) : Agrawal, Pranay;Dolan, John; Corporate Creator(s) : Technologies for Safe and Efficient Transportation. University Transportation Center;Carnegie-Mellon University. Robotics Institute; Published Date : 2014-12-12 URL : /view/dot/35800 "Sensory Augmentation for Increased" (2014). "Sensory Augmentation for Increased Awareness of Driving Environment [2014]" (2014) "Sensory Augmentation for Increased Awareness of Driving Environment [2014]" , 2014 Export RIS Citation Information.

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Agrawal, Pranay ;

Dolan, John

2014-12-12

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The goal of this project was to detect road boundaries and stationary obstacles on the road using low-cost automotive-grade LiDAR scanners for the pur...
Continuous Road Surface Distress Detection

CITE Title : Continuous Road Surface Distress Detection Creator(s) : Mertz, Christoph;Hebert, Martial;Jose, Sobhagya;Sharma, Karan;Varadharajan, Srivatsan;Wander, Lars;Wang, Jinhang; Corporate Creator(s) : Carnegie-Mellon University. Robotics Institute;Technologies for Safe and Efficient Transportation. University Transportation Center; Corporate Contributor(s) : United States. Dept. of Transportation. Research and Innovative Technology Administration Published Date : 2014-01-01 URL : /view/dot/36795 "Continuous Road Surface Distress" (2014). "Continuous Road Surface Distress Detection" (2014) "Continuous Road Surface Distress Detection" , 2014 Export RIS Citation Information.

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Mertz, Christoph ;

Hebert, Martial

2014-01-01

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State and local maintenance departments are tasked with keeping roads in good repair. One part of this task is to monitor the degradation of road surf...
Automatic Recognition and Understanding of the Driving Environment for Driver Feedback

CITE Title : Automatic Recognition and Understanding of the Driving Environment for Driver Feedback Creator(s) : Zhou, Jifu;Navarro-Serment, Luis E.;Hebert, Martial; Corporate Creator(s) : Carnegie-Mellon University. Robotics Institute Corporate Contributor(s) : University Transportation Centers Program (U.S.) Published Date : 2013-01-01 URL : /view/dot/36114 "Automatic Recognition and Understanding" (2013). "Automatic Recognition and Understanding of the Driving Environment for Driver Feedback" (2013) "Automatic Recognition and Understanding of the Driving Environment for Driver Feedback" , 2013 Export RIS Citation Information.

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Zhou, Jifu ;

Navarro-Serment, Luis E.

2013-01-01

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A smart driving system must consider two key elements to be able to generate recommendations and make driving decisions that are effective and accurat...