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11 to 20 of 36 Results
Data for "CAIT-UTC-REG52: Bridge Deck Surface Profile Evaluation for Rapid Screening and Deterioration Monitoring"
Sep 15, 2022 - CAIT-UTC-REG52: Bridge Deck Surface Profile Evaluation for Rapid Screening and Deterioration Monitoring
Trias, Adriana, 2022, "Data for "CAIT-UTC-REG52: Bridge Deck Surface Profile Evaluation for Rapid Screening and Deterioration Monitoring"", https://doi.org/10.7910/DVN/6JEQJZ, Harvard Dataverse, V1
The assessment of bridge deck condition demands the development of rapid and efficient diagnosis, prognosis, and repair techniques to safely and cost-effectively extend the life-cycle of our transportation infrastructure. Without the ability to identify and characterize deficiencies at their early stages, prognosis and various repair strategies sim...
CAIT-UTC-REG52: Bridge Deck Surface Profile Evaluation for Rapid Screening and Deterioration Monitoring(Rutgers, The State University of New Jersey)
Sep 15, 2022
The assessment of bridge deck condition demands the development of rapid and efficient diagnosis, prognosis, and repair techniques to safely and cost-effectively extend the life-cycle of our transportation infrastructure. Without the ability to identify and characterize deficiencies at their early stages, prognosis and various repair strategies sim...
Data for "CAIT-UTC-REG65: Development of a geometric extraction framework as part of a pilot digital twin framework for open-deck rail bridges"
Data for "CAIT-UTC-REG65: Development of a geometric extraction framework as part of a pilot digital twin framework for open-deck rail bridges"
Sep 15, 2022 - CAIT-UTC-REG65: Development of a geometric extraction framework as part of a pilot digital twin framework for open-deck rail bridges
Najafi, Amirali, 2022, "Data for "CAIT-UTC-REG65: Development of a geometric extraction framework as part of a pilot digital twin framework for open-deck rail bridges"", https://doi.org/10.7910/DVN/9BMR20, Harvard Dataverse, V1
Open-deck railway bridges require expensive and customized timber sleepers. When these sleepers are due for replacement, a manual process for geometry measurement is necessary which can be time consuming, inaccurate, and expensive. In addition, significant downtime is required for the safety of the inspectors that measure and assess the conditions...
CAIT-UTC-REG65: Development of a geometric extraction framework as part of a pilot digital twin framework for open-deck rail bridges(Rutgers, The State University of New Jersey)
Sep 15, 2022
Open-deck railway bridges require expensive and customized timber sleepers. When these sleepers are due for replacement, a manual process for geometry measurement is necessary which can be time consuming, inaccurate, and expensive. In addition, significant downtime is required for the safety of the inspectors that measure and assess the conditions...
Data for "CAIT-UTC-REG46: Driving behavioral learning leveraging sensing information from Innovation Hub"
Sep 6, 2022 - CAIT-UTC-REG46: Driving behavioral learning leveraging sensing information from Innovation Hub
Di, Sharon; Jin, Peter; Huang, Yufei; Mo, Zhaobin, 2022, "Data for "CAIT-UTC-REG46: Driving behavioral learning leveraging sensing information from Innovation Hub"", https://doi.org/10.7910/DVN/XIHFDG, Harvard Dataverse, V1, UNF:6:9+I2xW5bGdSdMEwDY4kRjA== [fileUNF]
With the accelerated deployment of connected and automated vehicle (CAV) technologies, public agencies have urgent needs on how to utilize these rich data sources of CAVs to improve traffic mobility, safety, and environmental and energy impact. This research will tackle one of the big data challenges, which is mining driving behavior patterns using...
CAIT-UTC-REG46: Driving behavioral learning leveraging sensing information from Innovation Hub(Rutgers, The State University of New Jersey)
Sep 6, 2022
With the accelerated deployment of connected and automated vehicle (CAV) technologies, public agencies have urgent needs on how to utilize these rich data sources of CAVs to improve traffic mobility, safety, and environmental and energy impact. This research will tackle one of the big data challenges, which is mining driving behavior patterns using...
Data for "CAIT-UTC-REG26: Passenger Flow Modeling and Simulation in Transit Stations"
Aug 30, 2022 - CAIT-UTC-REG26: Passenger Flow Modeling and Simulation in Transit Stations
Liu, Xiang; Zhu, Yadi, 2022, "Data for "CAIT-UTC-REG26: Passenger Flow Modeling and Simulation in Transit Stations"", https://doi.org/10.7910/DVN/SYBV9V, Harvard Dataverse, V1
Crowd analysis and management is key area of study for transit agencies to maximize operational efficiency and minimize risk. Passenger flow volume, crowd density and walking speed are key features of crowd analytics. This study proposes a generalized Artificial Intelligence (AI)-based crowd analytics model framework for rail transit stations, by a...
CAIT-UTC-REG26: Passenger Flow Modeling and Simulation in Transit Stations(Rutgers, The State University of New Jersey)
Aug 30, 2022
Crowd analysis and management is key area of study for transit agencies to maximize operational efficiency and minimize risk. Passenger flow volume, crowd density and walking speed are key features of crowd analytics. This study proposes a generalized Artificial Intelligence (AI)-based crowd analytics model framework for rail transit stations, by a...
Data for "CAIT-UTC-REG23: The Development of a Smart Intersection Mobility Testbed (SIMT)"
Aug 29, 2022 - CAIT-UTC-REG23: The Development of a Smart Intersection Mobility Testbed (SIMT)
Jin, Peter; Jafari, Mohsen; Zhang, Tianya; Huang, Yufei; Wang, Yizhou; Ge, Yi, 2022, "Data for "CAIT-UTC-REG23: The Development of a Smart Intersection Mobility Testbed (SIMT)"", https://doi.org/10.7910/DVN/UFS7IC, Harvard Dataverse, V1, UNF:6:c9nsl12Uffc/FZfy07elDw== [fileUNF]
This project developed the key modules and models for building a prototype smart mobility intersection testbed. The project proposed the key system design, developed the computer-vision based sensing module, created 3D infrastructure model, and explored a risk-based intersection traffic conflict analysis application as an application of the develop...
CAIT-UTC-REG23: The Development of a Smart Intersection Mobility Testbed (SIMT)(Rutgers, The State University of New Jersey)
Aug 29, 2022
This project developed the key modules and models for building a prototype smart mobility intersection testbed. The project proposed the key system design, developed the computer-vision based sensing module, created 3D infrastructure model, and explored a risk-based intersection traffic conflict analysis application as an application of the develop...
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