Online Summer Course Offering
Urban Transportation Systems Analysis Course Description
This course provides students with an understanding of system analysis tools used in urban transportation. Students will work with analytical techniques employed in urban transportation planning, such as traffic forecasting and system capacity analysis and apply these techniques using real-world data for analyzing both the demand and supply of transportation. (3 credit hours)
Course Delivery: Students will be given lab assignments, quizzes, and exams through an online medium. Students are expected to login to the blackboard several times a week. Students must be motivated to stay on task and complete the coursework. Keeping up on reading the assigned chapters and notes will be absolutely necessary for completing the labs (assignments) on time.
Course Objectives and Content
This course is intended to provide students with an understanding of system analysis tools used in urban transportation systems. It allows the students to understand and work with the analytical techniques typically employed in urban transportation planning, such as traffic forecasting and system capacity analysis methods. Students will use real-world data from MPOs and apply models. Specific objectives include:
1. Familiarize the students with the urban transportation planning process
2. Introduce students to transportation system concepts
3. Develop an understanding of transportation networks and network analysis techniques
4. Understand and work with primary and supplemental data sources and procedures
5. Understand and work with analytical techniques typically employed in urban transportation planning
6. Apply techniques to analyze travel demand, network supply, and system performance using real-world case studies and common transportation software models, including PTV Vision and Citilabs Cube.
*This course is also part of the approved Transportation Leadership Graduate Certificate (TLGC) curriculum