Michael Onuogu

Michael Onuogu serves as Principal Data Analyst for Transportation Modeling within the Data Analytics and Research unit of the Houston-Galveston Area Council, where he leads the development, calibration, and validation of regional travel demand models to support evidence-based transportation planning. His role is central to the agency’s mission of informing infrastructure investment and congestion mitigation strategies through advanced analytical techniques, including activity-based modeling, microsimulation, and spatial analytics. He is the primary technical lead in defining acquisition requirements for consulting services that enhance modeling capabilities, data integration, and predictive analytics tools, ensuring that procurement aligns with technical standards for transportation forecasting and policy evaluation. Michael collaborates with a network of specialized technical consultants who provide expertise in transportation modeling software, geographic information systems (GIS), and large-scale data processing. While no specific contractor relationships are currently documented, his procurement activity consistently targets firms with proven experience in urban mobility modeling, travel behavior analysis, and computational transportation science. He engages vendors through competitive sealed bidding and request for proposal processes, prioritizing technical capability, methodological rigor, and domain-specific experience over cost alone. Michael’s contracting activity reflects a strong preference for non-set-aside procurements, with 100% of acquisitions conducted under open competition. This indicates a focus on selecting the most technically qualified providers regardless of socioeconomic status, consistent with the specialized and highly technical nature of the services required. His procurement focus is exclusively under NAICS 541690—Other Scientific and Technical Consulting Services—reflecting a deep specialization in advanced analytical consulting for transportation systems. He procures services related to model development, scenario analysis, data assimilation from mobile and connected vehicle sources, and validation against empirical travel surveys, underscoring his domain expertise in computational transportation planning and regional mobility analytics.