Courses Taught
Currently Teaching in the August-December 2020 Semester
Travel Demand Modeling (CE 270)
Tuesdays and Thursdays 3:00 to 4:30pm, online via Teams
This is a first graduate course in the theory, development, estimation and application of statistical models for travel demand analysis. Below are the course contents:
Individual travel behavior and aggregate-level travel demand analysis; Alternative approaches to modeling travel demand (aggregate, trip-based approaches and disaggregate, activity-based approaches); Econometric methods for modeling travel demand (development, estimation, and application of statistical models for travel behavior analysis); Linear regression for activity and trip generation (specification, interpretation, estimation, hypothesis testing, market segmentation, non-linear specification, tests on assumptions); Mode choice and destination choice using discrete choice methods (introduction to binary logit and multinomial logit models, contrast with entropy and gravity methods); Traffic assignment/route choice (network equilibrium, system optimum); Model transferability; Microsimulation for activity-based models; Recent advances.
Graduate Courses
Travel Demand Modeling
Discrete Choice Analysis
Sustainable Transportation
Transportation Research Seminar
Traffic Systems Engineering
Undergraduate Courses
Transportation Engineering-1
Transportation Engineering-2
Transportation Laboratory
Professional Development Courses
Travel Demand Modeling (CE 270)
Tuesdays and Thursdays 3:00 to 4:30pm, online via Teams
This is a first graduate course in the theory, development, estimation and application of statistical models for travel demand analysis. Below are the course contents:
Individual travel behavior and aggregate-level travel demand analysis; Alternative approaches to modeling travel demand (aggregate, trip-based approaches and disaggregate, activity-based approaches); Econometric methods for modeling travel demand (development, estimation, and application of statistical models for travel behavior analysis); Linear regression for activity and trip generation (specification, interpretation, estimation, hypothesis testing, market segmentation, non-linear specification, tests on assumptions); Mode choice and destination choice using discrete choice methods (introduction to binary logit and multinomial logit models, contrast with entropy and gravity methods); Traffic assignment/route choice (network equilibrium, system optimum); Model transferability; Microsimulation for activity-based models; Recent advances.
Graduate Courses
Travel Demand Modeling
Discrete Choice Analysis
Sustainable Transportation
Transportation Research Seminar
Traffic Systems Engineering
Undergraduate Courses
Transportation Engineering-1
Transportation Engineering-2
Transportation Laboratory
Professional Development Courses
- A two-day workshop on activity-based travel demand models to consultants and stakeholders of the Florida Department of Transportation (Co-taught with Drs. Siva Srinivasan, John Bowman, and Joel Freedman)
- A three-day short course on "Discrete Choice Theory and Modeling Applications in Transportation" (Co-taught with Dr. Rajesh Paleti)
