CCE 56500 – Traffic Operations and Control

Credits and contact hours

  • 3 credits
  • Lecture meets 2 times per week for 75 minutes per meeting for 15 weeks

Specific course information

  • Catalog description: This course provides fundamentals of traffic engineering with a focus on traffic operations and control. Main components include basic traffic flow theory, traffic simulation, and traffic signal control. An introduction to the smart transportation system with connected and automated vehicles (CAVs) and smart infrastructure, and how these new technologies will impact existing operation and control models will also be introduced.
  • Prerequisites: CCE 36100 and CCE463 or equivalent
  • Course status: Technical elective

Specific goals for the course

  • Student learning outcomes - Upon successful completion of this course the student shall be able to:
    • Model and analyze highway and intersection traffic flow,
    • Build and calibrate microscopic traffic simulation models,
    • Evaluate, analyze, and optimize signal timing plans,
    • Have basic knowledge of connected and automated technologies including background, standard, testing, evaluation, and their applications in traffic engineering.
  •  Relationship of course to program outcomes
    • Outcome 1: An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
    • Outcome 5: An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.

Topics

  • Macroscopic Traffic flow theory
    • Traffic stream characteristic and basic traffic variable
    • Fundamental diagrams
    • LWR theory and solution scheme (Godunov scheme, cell/link transmission models)
    • Shockwave analysis
    • LWR model in Lagrangian coordinates
  • Traffic and Vehicle Simulation and Analysis
    • Microscopic traffic simulation
    • Microscopic traffic models (car following, lane-changing, gap-acceptance)
    • Vehicle-level simulation (perception, path planning, control)
    • Simulation software such as VISSIM, SUMO, and CARLA
  • Traffic Signal Control
    • Basic principles of intersection control
    • Fundamentals of signal design and timing: fixed-time, actuated, adaptive
    • Capacity analysis of signalized intersections
    • Isolated intersections: Webster’s model
    • Signal coordination: Mixed-integer linear programming (MILP) formulation
    • Adaptive signal control: Dynamic programming formulation
    • Machine learning based traffic control
  • Smart transportation system
    • Connected and automated vehicles
    • Smart transportation infrastructure
    • Cybersecurity of the smart transportation system