Connecting the transportation modeling industry with the specialized talent that drives it forward
Georgia P&E was founded to solve a critical gap in the transportation industry: the difficulty of finding qualified, pre-vetted ridership modeling professionals for short-term and project-based engagements.
With decades of combined experience across transit agencies, MPOs, and transportation consultancies, our team understands exactly what makes a great ridership modeler — technical depth, software proficiency, and the ability to deliver under real-world project constraints.
We've built a network of 175+ professionals spanning transit ridership forecasting, travel demand modeling, mode choice analysis, traffic assignment, activity-based modeling, and more — all pre-screened for expertise and reliability.
To bridge the gap between transportation organizations and the specialized modeling talent they need, delivering high-impact matches that accelerate project delivery.
To become the definitive talent platform for the transportation modeling industry — where every MPO, transit agency, and consultancy turns first when they need expert capacity.
What sets us apart as the premier talent platform for transportation modeling
Every professional in our network undergoes thorough screening — credentials, project history, and references verified before they're matched.
Average match time of 48 hours. We understand project timelines are tight and you need talent ready to contribute quickly.
Ongoing project support and satisfaction monitoring. 92% project completion rate with 100% client satisfaction.
Cube Voyager, TransCAD, VISUM, PTV Vissim, Python, R, GIS — we match based on exact software and platform requirements.
No minimum commitment. Hourly, project-based, or retainer models. Trial periods available for longer engagements.
Relationships with MPOs, state DOTs, FTA consultants, and transit agencies nationwide. We understand your compliance needs.
Vetted Professionals
Average Match Time
Project Completion
Client Satisfaction