Transportation Engineering: Traffic Flow Theory

This interactive online course presents the fundamentals of traffic flow and queueing theory which form the basis of all traffic analysis. This course presents the relationships among traffic flow, traffic density, and speed which are the primary elements of a traffic stream. These relationships guide engineers in planning, designing, and assessing traffic engineering improvements on highway systems and transportation networks. This course presents analytical methods that are applied in the design of new facilities, and also in evaluating impacts of modifications to existing transportation networks. Specific applications of the fundamental principles presented in this course include analyzing turn lane lengths, evaluating freeway ramp operations, estimating traffic flows at intersections, determining traffic flows at toll booths, and assessing the impacts of bottlenecks and traffic incidents on highway performance. This course presents statistical methods and how they are applied to analyze and manipulate traffic flow data, as well as how they are used to identify deficiencies in transportation systems as well as how they are used to assess traffic operations.

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Course Details

Learning Objectives

By the end of this course, you will be able to:
  • Define the parameters used to characterize traffic streams in the design of safe transportation facilities.
  • Describe traffic stream models and how they are used to analyze traffic flows for the benefit of the public.
  • Using principles of probability, describe traffic flow patterns in the design of safe and efficient transportation facilities.
  • Recognize the statistical tests used to analyze traffic flow data.
  • Describe how the scientific analysis of queues is used to predict and characterize traffic flows and other traffic operations scenarios for the safety and welfare of transportation users.

Specs

Course Level Fundamental
Languages English
Compatibility Audio, Video, MobileReady

Kwabena Ofosu Ph.D., P.E., PTOE

Kwabena Ofosu currently serves as Community Development Engineer in Titusville, Florida. He is also an Adjunct Professor in the Division of Engineering, Computer Programming and Technology, Valencia College in Orlando, Florida, where he teaches undergraduate courses in Statistics and Probability for Engineers, Engineering Mechanics, and computer applications for engineers. He earned his Bachelor's degree with Honors in Civil Engineering from the University of Science and Technology, in Ghana. He earned his Master's degree and PhD, both in Civil Engineering from Florida State University in Tallahassee, Florida. His research areas include bridge engineering, transportation asset management, and artificial intelligence.

Course Applies To

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