Texas A&M Transportation Institute
3135 TAMU
College Station, TX 77843-3135
(979) 317-2000
M.Eng., Electrical Engineering, Texas A&M University, 1990
B.S., Electrical Engineering, Texas A&M University, 1985
Texas A&M Transportation Institute
1111 RELLIS Parkway
Bryan, TX 77807
(979) 317-2837
[email protected]
Mr. Ruback has more than 30 years of research experience in transportation-related electrical/electronic and telecommunication-oriented projects. Since he joined the Texas A&M Transportation Institute in 1995, he has led concept development, system design, field deployment, and operation of numerous ITS projects. He has experience in diverse electronic and telecommunication systems including wireless, wireline, telephony, fiber optics, networking, personal computers, microcontrollers, single-board computers, and software systems.
Significant research has been conducted in the area of off-right-of-way train detection and tracking for use by municipalities to provide accurate and timely information on the location, speed, and length of trains along a corridor. The research produced a complete vertical integration of field components, back-office processing software, and multiple information dissemination solutions. The long-term research has deployed multiple technology approaches to continually improve overall system quality and capability while remaining cost effective.
Other larger research efforts include the development and deployment of travel time calculation and dissemination systems. The solution utilizes radio frequency tag and Bluetooth technology to measure the crossing times of both commercial and private vehicles coupled with a high-reliability field cabinet design. Several of the projects have led to patentable technology.
Current research interests include artificial intelligence/machine learning systems in transportation, very low power sensor solutions, detection systems using LIDAR and radar, connected vehicle systems, field solutions to support connected vehicle operations, and large-scale corridor deployment of traffic sensor systems.