About Houston-Galveston Area Council
The Houston-Galveston Area Council is one of the largest regional planning commissions in the country with a diverse service area of 13 counties and more than 7 million people. We are the pulse of our region addressing issues that cross city limits and county lines every single day.
We make decisions that affect our transportation system, ensure the safety and well-being of our seniors, connect people to jobs, help families recover from natural disasters, preserve water quality for our children, and so much more. We work to make the region a great place to live, work, and thrive.
What will I be doing?
ü Manage and update H-GAC multilayer models. Models include the activity-based model, 4-step travel demand model (TDM), dynamic traffic simulation model (DTA) and micro-simulation model
ü Provide modeling support for corridor planning studies, sub-area planning studies and special planning studies
ü Demonstrated expertise and experience in TDM validation and calibration
ü Assist in researching and developing modeling features related to emerging transportation technologies, transformative modes, and shared mobilities
ü Prepare advanced technical information and effectively communicate that information to external and internal audiences orally, in writing, and in presentations
Key Qualifications
ü Technical expertise in one or more transportation modeling software programs: Bentley (Citilabs) CUBE VOYAGER, Metropia DynusT, PTV VISUM, VISSIM, VISTRO, and Synchro
ü Knowledge of data analysis and visualization software: GIS or Tableau,
ü Ability to plan, organize, and manage the technical components of a travel demand modeling project
Do you have…
ü Bachelor’s degree in an applicable academic discipline or related field of study
ü 5 years of experience working with local government, nonprofit programs, school, or in job-related duties
Preferred qualifications
ü Master’s degree in (urban) planning, transportation engineering, or a related field of study on traffic forecast modeling
ü Hands-on experience in Python or R
ü Familiarity with GIS and experience working with and visualizing spatial data