Introduction to planning, design, and operations of transportation facilities. Road user, vehicle and roadway characteristics. Technological, economic and environmental factors. Asset management, transportation planning, capacity analysis, traffic control, geometric design, traffic safety.
Engineering aspects and fundamental principles of transportation safety. Reduction of crash incidence and severity through highway design and traffic control, and maintenance activities. Safety management best practices, safe systems, and other state-of-the-art practices in transportation safety. Human behaviors and how to influence them using engineering countermeasures to improve safety outcome metrics.
Statistical, econometric, and data science principles applied to real-world transportation data. Includes identification of data sources and limitations. Fundamentals of reproducibility and replicability, validation (including spatial and temporal validation), differences and purposes of inferential, descriptive, predictive, causal models, etc. Linear regression, count regression, and discrete choice models. Basic utility theory and decision-making with applications in transportation. Emphasis is placed on practical applications, proper model development, assumption checking, and usability of results.