UGA Bulletin

Course Description

This course introduces fundamentals and principles of transportation engineering, emphasizing traffic analysis. Principal topics covered in this course include significance of transportation to the social and economic underpinnings of society, road vehicle performance, geometric design of highways, traffic flow theory, capacity and level of service analysis, and travel demand modeling.

Additional Requirements for Graduate Students:
A class project will be required for graduate students. Students must apply the knowledge and respective tools learned from the class to form a comprehensive design project. The scope of the project needs to be discussed with and approved by the instructor. Students are expected to follow the industry standards and codes as applicable for completing the project. The deliverable of the project will include an oral presentation and a technical report, documenting in detail the technical analysis and design components.

Athena Title

Transportation Engineering

Undergraduate Pre or Corequisite

ENVE 3510

Semester Course Offered

Offered every year.

Grading System

A - F (Traditional)

Student Learning Outcomes

Students will gain a broad understanding of the transportation engineering field.
Students will understand the performance of road vehicles and its implications in design and operations.
Students will evaluate vertical and horizontal curves.
Students will apply queuing theory for traffic analysis.
Students will evaluate the capacity and level of services of signalized intersections.
Students will understand the concept and principles of travel-demand modeling.

Topical Outline

• Context and background
• Vehicle performance and sight distance
• Geometric design of highways
• Traffic stream parameters
• Traffic flow models
• Queuing theory and applications
• Highway capacity and levels of service
• Traffic control and analysis
• Introduction to travel demand modeling

Institutional Competencies

Analytical Thinking

The ability to reason, interpret, analyze, and solve problems from a wide array of authentic contexts.

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