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Associate
Research Scientist
System
Management Division,
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Office: |
Gilchrist,
155 |
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Phone: |
(979)
862-3559 |
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E-Mail
Address: |
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Homepage: |
Praprut Songchitruksa
TransLink Research Center
Texas Transportation Institute
The Texas A&M University System
2929 Research Pkwy #155 (3135 TAMU)
College Station, TX 77843-3135
Short Biography:
Dr. Songchitruksa is a registered professional engineer in the State of Texas. He holds Ph.D., M.Eng., and B.Eng., all in Civil Engineering, from Purdue University, Asian Institute of Technology, and Chulalongkorn University respectively. He joined the TransLink® Research Center in 2005 after serving as an Assistant Professor (tenure-track) in the Department of Civil Engineering at Texas A&M University at Kingsville.
Dr. Songchitruksa’s areas of expertise include traffic simulation, traffic operations and control, traffic safety, intelligent transportation systems (ITS), and statistical/econometric methods. He has been involved in a number of projects in these areas. His research is mainly to improve safety and efficiency of traffic operations through the integrated use of new technologies in traffic simulation, ITS data collection, and advanced methods for data analysis. Dr. Songchitruksa had recently served as a principal investigator leading a TTI research team in a development of a guidebook for effective use of operations data at Transportation Management Centers (TMCs) to support incident management and performance measurement. Dr. Songchitruksa has extensive experience with traffic simulation and traffic operations. He has conducted simulation analysis and developed several VISSIM-based utilities for a number of projects such as the development of dynamic freeway traffic modeling for predicting incident and congestion, the development of the fully adaptive detection-control system for isolated signalized intersections, and the simulation studies to develop warrants for ramp control signals. He also has extensive experience with safety analysis, statistical modeling, and database programming. In his doctoral research sponsored by Indiana Department of Transportation, he developed a methodology using extreme value theory to estimate the risk of collisions at signalized intersections where historical crash data are limited or unavailable.
Dr. Songchitruksa has over a decade of professional experience in transportation research. He has been actively involved with Transportation Research Board committees AHB25 (Traffic Signal Systems) and ANB20 (Safety Data Analysis and Evaluation). He has published a number of articles in refereed journals and peer-reviewed conference proceedings. Dr. Songchitruksa is also a licensed civil engineer in Thailand.
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