Apoorba Bibeka, PE

TTI Assistant Research Engineer

Education

• M.S., Data Science (Industrial Engineering), Texas A&M University, 2019
• M.S., Transportation (Civil Engineering), Texas A&M University, 2016

Short Biography

Mr. Bibeka is an Assistant Research Engineer in the System Reliability Division with over ten years of experience in traffic operations and air quality modeling fields. Mr. Bibeka’s areas of interest are intelligent transportation system (ITS) and connected and autonomous vehicle (CAV) applications, Python-based tool and package development, and data analytics. Mr. Bibeka has worked for several state, local, and federal agencies. He has authored or co-authored six journal articles and several research reports.

Mr. Bibeka’s current research focuses on traveler information systems, queue warning systems, and artificial intelligence-based innovation in roadway asset management. Mr. Bibeka has worked on fusing multiple data sources, such as connected vehicles, roadside sensors, and third-party segment-level data sources, to generate queue warnings and share the information through portable changeable signs (PCMS) or connected vehicle applications. Another of his recent projects focused on developing a proof of concept for lane marking assessment using computer vision algorithms and artificial intelligence (AI). Additionally, Mr. Bibeka contributes to projects on traveler information and queue warning systems in a freeway work zone using PCMS based on real-time INRIX data.

Mr. Bibeka has extensive experience on probe data-based projects evaluating traffic operations on freeways, intersections, and arterial corridors. Notably, Mr. Bibeka developed a Python-based package to test the usability of the GPS trajectory data to evaluate transit operation at intersections. Additionally, Mr. Bibeka has experience developing frameworks to model cooperative adaptive cruise control (CACC), integrate connected vehicle hardware, signal controller, and traffic simulation, and evaluate high-resolution signal controller data.