Transportation Research Institute Old Dominion University
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Graduate Courses





CEE 770 / 870. Transportation Safety. 3 Credits.

This course focuses on major transportation safety issues including transportation safety goals, safety of various transportation modes, identification of problematic locations, selection of safety countermeasures and their evaluation, safety data and modeling issues.

CEE 771 / 871. Transportation Operations II. 3 Credits.

This is the second course in transportation operations and traffic flow theory. It focuses on various types of models, e.g., continuum flow models and microscopic models, for describing the traffic flow phenomenon. Students will learn the LWR theory, car following models, cell-transmission model, and other related traffic flow principles. 

CEE 772 / 872. Intelligent Transportation Systems. 3 Credits.

This course examines how ITS can be used to enhance mobility and safety. The topics covered in the course include systems engineering approach to ITS, traveler response to technologies and information, ITS planning and evaluation, and ITS deployment and operational performance. ​Various ITS applications, fundamental ITS technologies, connected and automated vehicles, and relevant modeling, analysis and simulation techniques are discussed. 

CEE 773 / 873. Transportation Planning. 3 Credits.

This course covers transportation planning processes that include policy direction, transportation data, travel demand forecasting models, and decision-making/stakeholders issues.

CEE 774 / 874. Transportation Network Flow Models. 3 Credits.

This course provides a rigorous introduction to transportation network modeling, with special emphasis on network equilibrium problems. Topics include: elementary graph theory, shortest path problem nonlinear optimization, optimization of univariate functions, deterministic and stochastic user equilibrium.

CEE 775 / 875. Computational Methods for Transportation Systems. 3 Credits.

Fundamental models and algorithms in optimization, stochastic modeling and parallel computing will be discussed and illustrated with transportation applications.

CEE 776 / 876. Simulation in Transportation Networks. 3 Credits.

Principles of simulation modeling. Microscopic, mesoscopic and macroscopic traffic simulation models. Car following and driver behavior in networks. Calibration and validation of traffic simulation models. Traffic simulation software.

CEE 777/877. Econometric Modeling in Transportation. 3 Credits.

CEE 777/877 focuses on the development of econometric modeling and its application in the field of transportation engineering. Topics to be covered include statistical inference, linear regression, count data models, discrete choice models, survival analysis, time series modeling, spatial modeling, panel data analysis, and structural equation modeling. Students will have a better understanding of the concepts and theories of econometrics and will be equipped with well-suited modeling and analysis techniques. 
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Transportation Research Institute
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