Award Data

Real-time monitoring of traffic conditions is crucial for improving traffic safety and efficiency, and there is an urgent need for the development of in situ traffic sensing & computing technologies leveraging the recent advancements in edge computing. This project will develop an edge computing and sensor fusion system for comprehensive traffic and road conditions data collection and efficient tr ...

Additional passenger fatalities and injuries can occur in rollover-type derailment accidents due to failures of glazing retention mechanisms on passenger railcars. In recent accidents, a key failure mode is shearing off the external rubber gasket that secures the glazing panes as the side of the railcar drags along the ground. Once the gasket fails, the glazing pane is pushed inside, leaving an op ...

While AI-based techniques have been broadly embraced by transportation researchers and professionals due to their huge potential to significantly improve the efficiency and accuracy of analyzing transportation data, they typically require a large dataset to train the models effectively and experience difficulties in supporting real-time transportation operations and management. This project will u ...

Micro-Raman technology, that is embedded on a smartphone Platform. Micro-Raman will be a fraction the size of existing systems and fit into the Digital SOCOM initiative. The Smart device allows for the integration of other platforms such as colorimetric and biometric integration into reporting capabilities.

In an effort to maintain the advantage of today’s SOF operators, a new weapon mounted laser pointer and illuminator system is proposed. To increase survivability and lethality of the operator, the system will minimize size and weight while improving performance, reliability and operability. The development of a new laser based variable divergence illuminator will provide ideal beam clarity over ...

While AI-based techniques have been broadly embraced by transportation researchers and professionals due to their huge potential to significantly improve the efficiency and accuracy of analyzing transportation data, they typically require a large dataset to train the models effectively and experience difficulties in supporting real-time transportation operations and management. This project will u ...

While purchase of e-buses has accelerated in recent years, its adoption is still in its infancy, and transit agencies face technological, financial and institutional challenges. Amongst the range of technical challenges, charging infrastructure and power limitations create major barriers for evaluation of the appropriate model and type of e-bus. A significant challenge is the relatively low energy ...

In CMV operations, impaired alertness from driver fatigue contributes to a significant number of collisions and safety critical events. This project (through Phase II) will achieve a system to deliver an objective quantifiable measure of driver alertness based on the Psychomotor Vigilance Test (PVT). This system will alert drivers when assessments indicate alertness deficits and support the timely ...

This project intends to develop a sensor system that allows in-situ measurement of concrete’s pore solution resistivity, to supplement existing procedures for durability assessment. The innovation includes one or more sensors that are embedded inside concrete and a mobile measuring device to interrogate the sensor.Phase I project will explore candidate body materials for the sensor, manufacturin ...

In an effort to maintain the advantage of today’s SOF operators, a new weapon mounted laser pointer and illuminator system with laser range finding capability out to 900 meters is proposed. To increase survivability and lethality of the operator, the system will minimize size and weight while improving performance, reliability and operability. The development of a new laser based variable diverg ...