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Praprut Songchitruksa, Ph.D., E.I.T.
Assistant
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: |
Texas Transportation Institute
The
3135
Short Biography:
Dr. Songchitruksa is an Assistant Research Scientist with the TransLink®
Dr. Songchitruksa’s primary research interests include traffic operations and
control, traffic signal systems, traffic safety, statistical methods for
transportation data analysis, freeway operations, intelligent transportation
systems (ITS), and operations research. He currently serves as a principal
investigator for the TxDOT project 0-5485: “Incorporating historical data into
incident detection and performance measures at transportation management
center.” In addition, he has served as a key researcher in a number of past and
ongoing projects, some of which are:
TxDOT
0-4946: Development of dynamic traffic flow models for incident and short-term
congestion prediction
TxDOT
0-5278: Development of guidelines for managing freeway operations during
weather events
TxDOT
0-5424: Analytical enhancements to PASSER V for arterial and access management
TxDOT
0-5326: Development of improved techniques for traffic control for freeways and
work zones
TxDOT
0-4869: Evaluation of external station survey methodologies for high-volume
locations
TxDOT
0-5294: Development of ramp metering warrants
Dr.
Songchitruksa has been specialized in traffic safety analysis, modeling and
evaluation. In his doctoral research, he proposed a novel application of extreme
value theory to safety estimation based on observable traffic characteristics.
The proposed method can be used to estimate the risk of collisions at the
locations where historical crash data is limited or not available. The method
was evaluated for right-angle collisions using the data collected from suburban
signalized intersections. He also evaluated the feasibility of facilitating the
measurement of traffic characteristics with digital video and image processing
technology.
Dr. Songchitruksa has extensive experience in statistical and econometric
analysis tools, which include S-Plus, R, LIMDEP, and SAS. He also has
significant experience in both conventional and database programming. He
developed a decision support system (DSS), integrating both the database
management system (DBMS) and the treatment decision model, to help provide an
effective guideline for flexible pavement treatment selection for Thailand
Department of Highways. He also has extensive experience with traffic signal
controller hardware, traffic simulation and signal optimization software, and
the hardware-in-the-loop system. He has developed several VISSIM-based
utilities for past and ongoing research projects.
Dr. Songchitruksa has more than eight years of professional experience in
transportation research. He has more than ten articles published in refereed
journals and peer-reviewed conference proceedings. In addition, he has been
actively involved with Transportation Research Board committees ANB20 (Safety
Data Analysis and Evaluation) and AHB25 (Traffic Signal Systems). Dr.
Songchitruksa is a registered engineer-in-training (EIT) in the State of
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