Award Data

Our goal is to create a demonstrable prototype system at the end of Phase I which fuses IntelliDrive (SM) data with data from traditional inductive loop detectors and uses this data in a modified NEMA TS2 traffic signal controller within eTEXAS Model for Intersection Traffic to reduce traffic delay at intersections.  Our work will improve the safety of intersections and improve the mobility of traffic through adaptive traffic control which uses data produced by IntelliFusion, the product of our research.   The process of data fusion involves merging data obtained fr

There is a well defined, yet unfulfilled need for a convenient (non-contact, light weight) and rapid imaging tool for multi-directional, thru-wall stresses (both applied and residual) from the outside of a pipeline. Quantitative stress imaging is needed at mechanical damage and corrosion sites, as well as at other critical locations (dents, bends, etc.). JENTEK is uniquely positioned to deliver ...

Collaboration-Optimized Network for Naturalistic Exploration and Communication about Traffic (CONNECT) 3/19/2018 Collaboration-Optimized Network for Naturalistic Exploration and Communication about Traffic (CONNECT) will be a tool that allows users to easily generate a wide range of data visualizations from the Fatality Analysis Reporting System (FARS). CONNECT will leverage open-source visual ...

NON-DESTRUCTIVE COERCIMETRY FRACTURE TOUGHNESS ASSESSMENT FOR STEEL PIPELINES 3/8/2018 COMET’s main objective is to develop the first coercimetry-based fracture toughness assessment solution. Phase I will demonstrate the technical and economic feasibility of a non-destructive testing solution, based on coercivity metering, to assess material fracture toughness of steel pipelines; evaluating t ...

Demonstration of Image-Based Change Detection using a Prototype Drone-Based Track Safety Inspection 3/16/2018 Today’s prevailing methods of visual track inspection tend to be expensive, disruptive to operations, and have potential to be less thorough than preferred. Machine vision technology emerged in the rail sector over a decade ago to help alleviate these concerns; however, due to the un ...

Through previous grant awards from IES, researchers developed Graspable Math, a tablet-based intervention where middle and high school students create and manipulate complex expressions for basic operations as well as equations and equations systems and inequalities. In this project, the team will develop a prototype of Graspable Math Activities, an app with novel kinds of algebra practice and ass ...

Through previous research and development, the team created a teacher platform that suggests research-based strategies for supporting students with special needs or targeted skill gaps. This project will develop a prototype of a dashboard for teachers to create, access, and track student's Individual Educational Plans (IEPs). At the end of Phase I, in a pilot study with six middle school special e ...

Through a previous grant award from the U.S. Department of Education, researchers developed Read for Success, an intervention designed to stem the summer slide among struggling readers. This project will develop a prototype of Mix Libris, an Augmented Reality (AR) enhanced mobile literacy platform designed to support and motivate grade 3 students in acquiring and improving literacy skills. Mix Lib ...

Through previous grant awards from IES and the National Science Foundation and an ED/IES SBIR award, researchers developed a virtual laboratory with performance-based simulations aligned to Next Generation Science Standards (NGSS) in physical, life, and earth science for middle school, as well as a dashboard to provide teachers real-time formative and summative assessment reports on students doing ...