Award Data

Today, urban underground spaces are shared by multiple utility companies for laying power lines, gas lines, water supply/sewage pipes, fiber-optic cables, etc. The recordings of such buried utilities are often erroneous, inadequate, or outdated (if they ever exist) due to insufficient surveying methodologies and as-built recording practices. Ability to accurately locate and provide awareness of bu ...

Planned or unplanned traffic events, such as work zones, collision accidents, sporting games and stormy/snowy weather, arise along our roadway systems and affect normal traffic operations. These anomaly events cause various magnitude of traffic congestion and safety impact to road users. Thus, local or regional Traffic Management Centers (TMCs) have spent tremendous amount of resources responding ...

To keep drivers and passengers of vehicles safe, especially in rural areas with limited access to Information and Communications Technology (ICT), the DOT and the commercial automotive industry are keenly interested in machine vision based V2I and CAV technology to perform functions such as navigating assistance in areas where GPS or detailed maps are unavailable, caution and warning systems capab ...

Knowledge Based Systems, Inc. (KBSI) is pleased to propose the further design and development of MySidewalk mobile application facilitating the crowd-sourced collection of sidewalk inventory and condition data. The MySidewalk application utilizes advances in social networks and data mining to provide integrated sidewalk datasets. Phase I and II research was facilitated by inputs from City of Colle ...

Parry Labs proposes the continued development of a distributed, scalable, heterogeneous system to perform Automated Processing, Exploitation, and Dissemination (APED) of multi-INT sensor feeds. The system will run as a distributed cluster that employs Serverless function execution and containers to enable the reliable, scalable running of applications. The cluster will employ a peer-to-peer overla ...

Development of a prototype application that using automation, transforms an initial Government Client statement of need (SoN) through the use of expert systems and a machine learning engine. The final product will transform broader SoN or Statement of Work (SOW) requirements into work products that are able to leverage the RAD Freelancer concept.

The ability to monitor the integrity of a bridge structure and detect damage or condition changes at early stages is of significant importance for bridge operation safety. Currently, the most widely used damage detection methods rely on subjective, incremental visual assessments or localized testing techniques. In this proposal, we propose to develop and test a low cost and efficient bridge stru ...

This Phase II proposal develops a novel third rail insulator cleaner called the Vohrtex based.on the successfully completed Phase I project that developed the low water consumption, quick cleaning tool, the “Spin Wedge.” The Vohrtex slides on the third rail and is attached to a service vehicle that rides on the track. The Vohrtex has a pair of arms, which hang down on opposite sides of the t ...

This research focuses on the development of a real-time signal timing methodology and algorithms that balance safety and efficiency. This research consists of two phases: Phase I was completed in December 2009; it examined the relationships between signal timing and surrogate measures of safety, namely the frequency of rear-end, angle and lane-change conflicts. The FHWA Surrogate Safety Assessm ...

To mitigate the Dilemma Zone (DZ) problem, Intelligent Automation, Inc. (IAI) team proposes an innovative vehicle specific Detection, Control and Warning System (DCWS). DCWS provides vehicle-specific dilemma zone protection based on travel time to the intersection as opposed to more conventional systems which protect a fixed area on the pavement. Apart from incorporating advanced signal control ...