News & Events
ASCE International Conference on Transportation and Development (ICTD2022)
Three papers have been accepted for publication in the proceeding of the ASCE ICTD2022 conference.
Four papers have been accepted for presentation at the ASCE ICTD2022 conference.
An article titled “Global lessons learned from naturalistic driving studies to advance traffic safety and operation research: A systematic review” is now available online in the Accident Analysis and Prevention. In this work, based on Preferred Reporting Items for Systematic Reviews and Meta-Analyzes (PRISMA) approach, we systematically reviewed 117 naturalistic studies around the world with a focus on traffic safety and operation considering seven relevant topics, including driver behavior and performance, crash/near-crash causation, driver distraction, pedestrian/bicycle safety, intersection/traffic signal related studies, detection and prediction using naturalistic driving data.
Received Wyoming Professional Engineering (P.E.) license from the Wyoming Board of Professional Engineers and Professional Land Surveyors. License No. PE 18820.
Development of automatic placard recognition system for HAZMAT.
This research was presented at the 100th Transportation Research Board (TRB) annual meeting 2021 and published in the Journal of Transportation Research Record (TRR).
February 15, 2021
"The main goal of my research is to improve the safety and mobility of the roadways via Big Data analysis and Machine Learning using trajectory-level weather and human behavior data. To achieve my research goal, I developed several Machine Learning based weather detection models capable of detecting real-time trajectory level weather and road surface conditions. At present, I am extending my research to detect work zones, pedestrians, and unexpected roadway situations such as crashes and road closures. The results of my research can be helpful to improve Variable Speed Limit (VSL) systems through proper integration of real-time weather information and human factors into the VSL algorithm, especially in a Connected Vehicle (CV) environment. Also, the findings from my research can be leveraged to develop an affordable Advanced Driver Assistance System (ADAS)."
-Md Nasim Khan (Graduate Student- Ph.D. 4th year, Civil Engineering)
October 10, 2019
Md Nasim Khan was recently awarded a Love of Learning Award worth $500 from The Honor Society of Phi Kappa Phi, the nation's oldest and most selective collegiate honor society for all academic disciplines. Khan is one of 200 recipients to receive the award.