Gradient Systematics

Feasibility analysis, traffic and revenue forecasts, and financial planning for toll roads, managed lanes, and express lanes.

• Toll facility feasibility studies

  Performing sketch, intermediate, and investment-grade feasibility assessments for potential toll facilities.

• Traffic and revenue forecasting

  Utilizing conventional four-step modeling and advanced machine learning techniques to project traffic volumes and revenue streams.

• Toll structure and financial plan development

  Assisting with the design of appropriate tolling structures and financial planning aligned with the requirements of rating agencies and financial institutions.

• Corridor screening and selection

  Establishing screening criteria for potential toll facility corridors and supporting stakeholder presentations.

• Operational traffic simulation

  Conducting complex macroscopic, mesoscopic, and microscopic simulations to study operational efficiency and traffic impacts.

Accurate short- and long-range traffic estimates and forecasts using standardized methodologies, traffic count systems, and trend analysis.

• Traffic Analysis for Highway Design (TAHD)

  Developing TAHD tabulations and traffic inputs essential for air and noise quality analysis.

• Historical regression forecasting

  Analyzing historical traffic data trends using DOT databases such as the Traffic Count Database System (TCDS) and Traffic Analysis & Data Application (TADA).

• Travel demand model projections

  Leveraging Metropolitan Planning Organization travel demand models to incorporate network improvements, land use developments, and socioeconomic growth.

• Average Daily Traffic (ADT) forecasting

  Providing standardized ADT forecasts for opening, 20-year, and 30-year horizon periods.

Development, maintenance, and enhancement of travel demand models at metropolitan and statewide levels, including four-step and activity-based models.

• Model development and calibration

  Handling in-house model adoption, calibration, validation, and script execution across major travel demand modeling platforms.

• Four-step and activity-based modeling

  Developing and executing structured regional and statewide travel forecasting models.

• Multi-resolution simulation modeling

  Applying macroscopic, mesoscopic, microscopic, and hybrid simulation tools to analyze transport operational performance.

GIS-integrated transportation data analysis, machine learning applications, and interactive dashboard development for planning and operations.

• Power BI & Tableau dashboard development

  Creating dynamic dashboards that transform complex transportation data into interactive, real-time visual insights.

• GIS spatial analysis

  Utilizing Geographic Information Systems to analyze spatial relationships, land use patterns, and location-based intelligence.

• Machine learning & AI forecasting

  Applying machine learning algorithms and predictive models to automate data processes and optimize traffic forecasting accuracy.

• Road network and 3D visualization

  Modeling road networks and producing 3D simulations for special events, corridor studies, and intersection improvements.