3 credits
Fall 2026 Lecture Upper Division
Intelligent Transportation Systems (ITS) is an interdisciplinary field that leverages technologies from transportation engineering, electrical engineering, computer science, and related disciplines to improve the safety, efficiency, and sustainability of transportation systems. This course introduces fundamental concepts, enabling technologies, and emerging applications of ITS. Topics include traffic flow theory, Internet of Things in transportation, machine learning and big data for transportation systems, electric vehicles, connected and automated vehicles, vehicle-to-everything communication, smart infrastructure, advanced traffic and vehicle simulation tools, and mobility-as-a-service. The course emphasizes both system-level understanding and real-world transportation applications.
Learning Outcomes1Describe the fundamental concepts and components of intelligent transportation systems.
2Analyze transportation problems using ITS technologies such as sensing, connectivity, and data analytics.
3Understand the roles of connected and automated vehicles, smart infrastructure, and electric vehicles in modern transportation systems.
4Conduct independent technical or research-oriented work on an ITS-related topic and communicate results effectively.
Restrictions
made by Purdue students.