Planning and Managing Successful Applications of Traffic Analysis Tools (TAT) is a two-day insturctor-led course utilizing lecture and small-group collaborative exercises to train participants on how to use traffic analysis tools for transportation decision making. This course is designed to cover:
Appropriate roles for traffic analysis tools
Classes of analytical tools and their capabilities
Managing the application of traffic analysis tools to support transportation decision-making, including planning for analysis, data collection, model validation and using the model to evaluate competing project alternatives.
"Traffic analysis tools" is a collective term used to describe a variety of software-based analytical procedures and methodologies that support different aspects of traffic and transportation analyses. Traffic analysis tools include methodologies such as sketch-planning, travel demand modeling, traffic signal optimization, and traffic simulation.
The course provides an overview of how traffic analysis tools can be applied. The course includes lecture, full-group interaction, and small group activities. The purpose of the course is to provide participants with the basic tools and resources needed for effective use of traffic analysis tools as well as direction on where to go more information.
A mix of experience with traffic analysis tools among participants is preferred. No prior experience with traffic analysis tools is required. The course is designed to promote interactions between participants. Therefore, the group is likely to benefit from a variety of viewpoints if participants have varied levels of analytical experience and diverse agency affiliations. The group may include:
State Department of Transportation Staff (District Engineers, Corridor Planners, Project Eng., Traffic Eng., Environmental Eng.)
FHWA staff (Division Staff, Transportation Engineers, Traffic Staff, Planners)
Metropolitan Planning Organization Staff (Planners)
If you have questions about this NHI training, please contact NHI at
email@example.com or 877.558.6873.