Dr Abe Yarney is a licensed Professional Engineer with over ten years of experience in Traffic Engineering and Transportation Planning. He holds a Ph.D. in Transportation Engineering from the University of Florida, an MSc from the University of Leeds, UK, and a BSc in Civil Engineering from KNUST, Ghana.
Dr Yarney has a strong background in traffic operations analysis, travel demand modeling, and traffic safety analysis. He is certified in Traffic Safety Analysis and Traffic Engineering Studies in Texas. His technical expertise spans predictive safety modeling using IHSDM, ISATe, SPICE, and other HSM tools; crash data analysis and dashboarding with Python and PowerBI; and travel demand modeling using TransCAD. He is also proficient in traffic operations tools such as Synchro, VISSIM, VISUM, HCS, and CAP-X. Currently serving as a Traffic Engineer at STV in Austin, TX, Dr. Yarney is involved in high-impact projects such as the SH-45 Tolled Road Extension, Frankford Road Widening, and the California High Speed Rail Project. His role includes safety analysis, demand modeling, intersection performance studies, and preparation of design memos and reports.
Prior to STV, he served as Senior Transportation Engineer at Atkins, leading traffic forecasting and safety studies across multiple states. His earlier roles at CHW Professional Consultants and DRMP in Florida included traffic impact assessments and roadway design.
He brings a data-driven, results-oriented approach to transportation challenges, delivering practical solutions to improve roadway safety and efficiency.
In addition to his extensive expertise in traffic analysis, travel demand modeling, and traffic safety, Mr Yarney is deeply passionate about cocoa farming
He is committed to supporting cocoa farmer education, particularly in strategies to increase yield and diversify income sources.
He also takes keen interest in cocoa marketing, with a focus on building and improving relationships with stakeholders in the cocoa industry.
Also, his expertise in traffic operations and analysis, predictive safety modeling, and travel demand forecasting can support the efficient planning and management oil and gas trading.