Award Data

Despite heavy vehicles representing a small portion of vehicles on the roads, they have significant influences on pavement, safety, environment, energy consumption, and the performance of traffic system. Weigh-In-Motion (WIM) has been employed as a major technology to collect heavy vehicle data on freeways. Because WIM systems are costly and sophisticated, how to effectively utilize the valuable W ...

The development of a wireless mobile cloud platform that includes dynamic ride matching; utilizing in-vehicle systems and user interface; with supporting connectivity to social networks and HOV/HOT lane tolling infrastructure, will create a critical enhancement to enable an increase in ridesharing on the nation’s roadways. The objective of this Phase II research project is the development of a w ...

A well-established method of differential GNSS corrections, referred to as real time kinematic (RTK), is applied to raw signals which can be obtained for inexpensive automotive grade GNSS designs. This technical approach to position determination is historically found only in higher cost survey grade devices. Today’s automotive class designs can achieve positional accuracies of slightly over one ...

The primary objective of SBIR Phase II is to design and validate the data flow inside a smart work zone system by designing a framework that would enable exchanging work zone related messages between remote traffic management center server TMCS and the vehicles on the road. The framework will possess the following capabilities: • Ability to broadcast Traveler Information Messages (TIM) as well ...

A study conducted by The Boeing Company of world-wide commercial jet transport accidents found the most common events to be loss of control associated with an inability of pilots to recover from upsets and unusual attitudes. A key component in some of these events is pilot spatial disorientation (SD). Improved pilot training in these abnormal flight conditions, including the ability of training si ...

Proposal title: Detection of THC Use in Drivers The overall objective of this program is to develop a portable, cost-effective and non-invasive sensor device for near real-time salivary THC detection to be used at roadside in drivers. This will eliminate the need for expensive and time-consuming analytical techniques which have a turn-around time of several days. During the Phase I program Giner ...

Proposal title: Detection of THC Use in Drivers The intoxicating effects of marijuana are of concern to the law enforcement community as well as to the general manufacturing, service and commerce community where employees may need to be screened for intoxication. A reliable method to quantitatively measure the amount of the intoxicating agent delta-9- tetrahydrocannabinol (THC) in suspected marij ...

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 ...

This SBIR phase I project will extend an existing collaboration with multiple insurance companies to identify a common prototype data set and risk scoring algorithm that are independent of the devices deployed for data collection. Collection devices include some commonly used by various telematics service providers, as well as mobile devices. Parameters will include at a minimum deceleration and ...

Proposal title: A Robust Railway Track Crack Detection System Using Thermal Signatures In Phase I, we developed a practical sensor platform suitable for mounting on the back of train. A large amount of IR images associated with rail tracks were collected on an MBTA train. Algorithms were developed to identify both right and left tracks from a moving train. To help detect track cracks, we develope ...