About CE 243 A

Study of specific methods used to analyze travel demand, travel behavior and network flows; process of travel demand modeling; collection, analysis and expansion of survey data and travel data; mathematical methods common to travel modeling. Prerequisite: CE 133.


Prereq enforced by system: CE 133; Open to Continuing Ed students with instructor permission Technical Elective (Civil, Env)

Section Description

Data collection, analysis and modeling techniques used in the evaluation, planning and design of regional transportation systems. The course will be taught in person during the Spring 2022 semester.

Section Expectation

The objective of this course is learning how to apply knowledge of transportation planning history, contemporary transportation planning theory, modern data analysis methods, and forecasting models to create more sustainable and equitable regional transportation systems. The course is divided into four segments that address these objectives. The first segment explores the history of urban transportation planning and the planning challenges that transportation professionals face. The second segment introduces transportation data collection techniques and statistical analysis methods. The third segment introduces quantitative methods for forecasting travel demand and evaluating regional transportation plans. The final segment discusses other aspects of transportation planning and forecasting that are important to professional practice and consider recent developments in transportation technology and policy. After completing this course you should: 1. Understand the purpose and need for a comprehensive, continuous and cooperative regional transportation planning process. 2. Be familiar with the basic requirements and functions of the federally mandated regional transportation planning process. 3. Be familiar with common data sources and data collection methods used by transportation planning and engineering professionals. 4. Be able to perform common quantitative analysis of transportation data for aiding transportation planning and engineering decisions. 5. Have a basic understanding of travel behavior theory and its use in modern transportation planning and engineering methods, including travel demand forecasting. 6. Understand the limitations of current planning methods and modeling tools as well as the technical and ethical challenges faced by transportation planners and engineers.


Student performance is evaluated through a combination of weekly or bi-weekly homework assignments, two mid-term exams, participation in in-class workshops, and a final project.

Course Dates



Votey Bldg 254 (View Campus Map)


to on Monday, Wednesday and Friday

Important Dates

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