CONNECTED AND AUTOMATED TRANSPORTATION SYSTEMS
Connected vehicle and automated vehicle technologies; comprehensive studies of sensing, trajectory planning, and vehicle control within the context of the automated vehicle; consideration of pertinent development and technologies in this field.
Prerequisites & course information
Requisites: CIV ENGR 370 and ( STAT 324 , E C E 331 , STAT/MATH 431 , or STAT 311 ), graduate/professional standing, or member of Engineering Guest Students Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Communicate using connected vehicle (CV) and automated vehicle (AV) technology terms and concepts Audience: Both Grad & Undergrad 2. Design operations of traffic containing connected autonomous vehicles (CAVs) Audience: Both Grad & Undergrad 3. Incorporate CAVs in planning Audience: Both Grad & Undergrad 4. Identify policy issues related to connected and automated vehicles Audience: Both Grad & Undergrad 5. Demonstrate an advanced understanding of the underlying traffic principles and CAVs’ implications in real-world scenarios Audience: Graduate 6. Quantitatively analyze CAV models based on real trajectory data Audience: Graduate Learning Outcomes: 1. Communicate using connected vehicle (CV) and automated vehicle (AV) technology terms and concepts Audience: Both Grad & Undergrad 2. Design operations of traffic containing connected autonomous vehicles (CAVs) Audience: Both Grad & Undergrad 3. Incorporate CAVs in planning Audience: Both Grad & Undergrad 4. Identify policy issues related to connected and automated vehicles Audience: Both Grad & Undergrad 5. Demonstrate an advanced understanding of the underlying traffic principles and CAVs’ implications in real-world scenarios Audience: Graduate 6. Quantitatively analyze CAV models based on real trajectory data Audience: Graduate
Sources
- Course catalogue ↗2026-2027