Transportation Systems

Graduate Certificate in Engineering Courses

The certificate requires completion of four of the following three-credit courses.

To apply to this program, please click here.

Transportation Systems Core Courses (4 of 6 courses)

ENCE 670 Highway Traffic Characteristics and Measurements (3 credits)
Prerequisite: Permission of Instructor.
The study of the fundamental traits and behavior patterns of road users and their vehicles in traffic. The basic characteristics of the pedestrian, the driver, the vehicle, traffic volume and speed, stream flow and intersection operation, parking, and accidents.

ENCE 672 Regional Transportation Planning (3 credits)
Prerequisite: Permission of Instructor.
Factors involved and the components of the process for planning statewide and regional transportation systems, encompassing all modes. Transportation planning studies, statewide traffic models, investment models, programming and scheduling.

ENCE 673 Urban Transportation (3 credits)
Prerequisite: Permission of Instructor.
The contempory methodology of urban transportation planning. The urban transportation planning process, interdependence between the urban transportation system and the activity system, urban travel demand models, evaluation of urban transportation alternatives and their implementation.

ENCE 677 OR Models for Transportation Systems Analysis (3 credits)
Prerequisite: Permission of Instructor.
Fundamental skills and concepts of the quantitative techniques of operations research including: mathematical modeling, linear programming, integer programming, network optimization (shortest paths, minimum spanning trees, minimum cost network flows, maximum flows), heuristics, and basics of probabilistic modeling. Emphasis on the application of these techniques to problems arising in transportation.

ENCE 6881 Discrete Choice Analysis (3 credits)
Prerequisite: Permission of Instructor.
Methods and statistics of model estimation; maximum-likelihood estimation; individual choice theory; binary choice models; multi-dimensional choice models; sampling theory and sample design; aggregate prediction with choice models; joint stated preference and revealed preference modeling, and longitudinal choice analysis; review of state-of-the-art and future directions.

ENCE 688T Transportation Network Algorithms and Implementations (3 credits)
Prerequisite: Permission of Instructor.
This course will focus on network optimization algorithms for transportation and logistics systems. The application of these techniques to the determination of optimal routes and tours for various transportation and logistics applications will be stressed. In addition to introducing a wide variety of network-related problems and existing techniques for solving a number of these problems, one of the goals of the course is to help the class participants to develop skills in creating and evaluating new algorithms and heuristics.


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