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AI-based framework for automatically extracting high-low features from NDS data to understand driver behavior
(University of Missouri--Columbia, 2022)
Our ability to detect and characterize unsafe driving behaviors in naturalistic driving environments and associate them with road crashes will be a significant step toward developing effective crash countermeasures. Due ...
Interactive, multi-purpose traffic prediction platform using connected vehicles dataset
(University of Missouri--Columbia, 2022)
Traffic congestion is a perennial issue because of the increasing traffic demand yet limited budget for maintaining current transportation infrastructure; let alone expanding them. Many congestion management techniques ...
TMA (Truck Mounted Attenuators) alert system-development and testing
(University of Missouri--Columbia, 2022)
Truck Mounted Attenuators (TMAs) play a crucial role in safety of work zones as they decrease the impact of the crashes, reduce fatalities and injuries, and increase safety. However, there are almost no solid solutions to ...
Leveraging AI to assess inequities in pavement maintenance and rehabilitation strategies
(University of Missouri--Columbia, 2022)
Pavement maintenance and repair (M&R) is an important social need that should be accessible to all regardless of social or economic circumstances. In this project, pavement condition is analyzed through the use of machine ...
Edge computing - enabled road condition monitoring : system development and evaluation
(University of Missouri--Columbia, 2023)
[EMBARGOED UNTIL 8/1/2024] Real-time pavement condition monitoring provides highway agencies with timely and accurate information that could form the basis of pavement maintenance and rehabilitation policies. Existing ...
Multi-headed self-attention mechanism-based Transformer model for predicting bus travel times across multiple bus routes using heterogeneous datasets
(University of Missouri--Columbia, 2023)
Bus transit is a crucial component of transportation networks, especially in urban areas. Bus agencies must enhance the quality of their real-time bus travel information service to serve their passengers better and attract ...