Program Curriculum

Program Curriculum

  Required Core Courses

Course # Course Name Credits Pre-req Semester
TTE 5006 Urban Transportation Planning 3 Fall
TTE 5256 Traffic Engineering 3 Spring
TTE 5305 Transportation Systems Analysis 3 Fall
TTE 6267 Traffic Flow Theory 3

Elective Courses within Transportation program (minimum of 2)

Course # Course Name Credits Pre-req Semester
TTE 6205 Freeway Operations and Simulation 3
TTE 6259 Urban Streets Simulation and Control 3
TTE 6306 Computational Methods in Transportation Engineering 3 TTE 5256
TTE 6505 Discrete Choice Analysis 3 Spring
TTE 6606 Urban Transportation Models 3 TTE 5305 Spring

Elective Courses outside Transportation Program*

 Course # Course Name Credits Pre-req Semester
CCE 5035 Construction Planning and Scheduling 2 Summer
CGN 5315 Civil Engineering Systems 3 Summer
CGN 5605 Public Works Planning 3
CGN 5606 Public Works Management 3
ESI 5236 Reliability Engineering 3
ESI 6337 Markov Processes, Queuing Theory and Applications 3
ESI 6546 Stochastic Modeling and Analysis 3
ESI 6529 Digital Simulation Techniques 3
STA 5106 Computer Programs in Statistical Analysis 1 STA 6166
STA 5325 Mathematical Methods of Statistics 3
STA 6166 Statistical Methods in Research I 3
STA 6167 Statistical Methods in Research II 3 STA 6166
SUR 6395 Topics in GIS 3
TTE 5835 Pavement Design 2
URP 6270 Geographic Information Systems 3
URP 6274 GPS for Planners 1
URP 6711 Transportation and Land Use Coordination 3 URP 6716 Fall
URP 6716 Transportation Policy and Planning 3 Fall
URP 6821 Transportation and Land Use Modeling 3

* Other Civil Engineering departmental courses, as well as courses in the Computer Science, Electrical Engineering, Industrial and Systems Engineering, Statistics, and Urban and Regional Planning departments may be acceptable.  Consult your advisor about courses in these areas not listed above.

Required Research (for Masters Thesis and PhD students)

Course # Course Name Credits
CGN 6971 Masters Thesis 6
CGN 7979 Advanced Research (PhD) Var
CGN 7980 Research for Dissertation Var

Course Descriptions

Urban Transportation Planning

Overview of the “four-step” urban transportation planning process, estimation of the travel demand models of trip generation, trip distribution, mode choice, and traffic assignment, and the forecasting of travel patterns using the travel demand models, state-of-the-art approaches.

Traffic Engineering

This course provides students with an overview of the fundamentals of traffic engineering, with emphasis on field studies, data analysis, level of service, and traffic control devices. (syllabus)

Freeway Operations and Simulation

This course addresses the area of freeway operations analysis and simulation.  Topics covered include: uninterrupted traffic flow theory; analysis with Highway Capacity Manual methods; microscopic simulation, and freeway management and control methods. (syllabus)

Transportation Systems Analysis

Integrates the basic concepts and tools of systems analysis, including those of microeconomic theory, systems optimization, evaluation and decision making into transportation planning and management. Fundamentals of the supply-demand paradigm, production theory and cost functions, utility theory and demand models, market and network equilibrium, decision making and project evaluation are discussed.

Discrete Choice Analysis

Theory and models of individual choice behavior, binary choice models, unordered and ordered multinomial choice models, empirical specifications, maximum-likelihood estimation method, sampling, prediction of choices, state-of-the-art methods, travel modeling applications.

Urban Transportation Models

Discusses selected mathematical models for decision makings in planning and operation of urban highway and transit systems.  Specific topics include static network equilibrium analysis, modeling day-to-day traffic dynamics, dynamic traffic assignment, network reliability assessment and models for transit planning and operations.

Urban Streets Simulation and Control

Principles of simulation modeling and applications for traffic analysis; simulation of urban streets operations using commercially available packages such as CORSIM and AIMSUN; traffic signal control and optimization for urban streets; computer models for signal optimization including TRANSYT-7F and PASSER-II; signal control hardware.

Computational Methods in Transportation Engineering

This course addresses the area of computational methods for transportation engineering and their implementation in software.  The main focus areas of this course include: 1) numeric methods and their applicability to transportation engineering/analysis, 2) basic computer programming concepts, 3) key issues in implementing a computational methodology into a software format, and 4) fundamentals of simulation software development.

Traffic Flow Theory

Vehicle-roadway-infrastructure interactions, equations of motion for a single vehicle and for groups of vehicles; car-following models; microscopic and macroscopic traffic characteristics; traffic stream models; capacity and quality of service analysis; simulation modeling; queuing theory; probabilistic models for capacity analysis; shockwave analysis.