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Starts 6 June 2025 09:42

Ends 6 June 2025

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Harnessing Autonomous Vehicles for Smarter Traffic Management

Explore how autonomous vehicles can be strategically deployed to improve traffic efficiency across highways, routing networks, and toll lanes, with innovative models for mixed human-autonomous vehicle environments.
USC Information Sciences Institute via YouTube

USC Information Sciences Institute

2484 Courses


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Overview

Explore how autonomous vehicles can be strategically deployed to improve traffic efficiency across highways, routing networks, and toll lanes, with innovative models for mixed human-autonomous vehicle environments.

Syllabus

  • Introduction to Autonomous Vehicles
  • Overview of Autonomous Vehicle Technology
    Levels of Autonomous Driving
    Current Trends in Autonomous Vehicles
  • Fundamentals of Traffic Management
  • Traffic Flow Theory
    Traffic Control Devices
    Smart Traffic Infrastructure
  • Autonomous Vehicles in Traffic Networks
  • Interaction of Autonomous and Human-Driven Vehicles
    V2X Communication Protocols
    Impact on Traffic Flow and Congestion
  • Highway Traffic Efficiency
  • Platooning and Convoy Strategies
    Adaptive Cruise Control Systems
    Intelligent Speed Adaptation
  • Routing Networks Optimization
  • Dynamic Routing Algorithms
    Predictive Traffic Modelling
    Real-time Data Utilization
  • Toll Lane Management
  • Automated Toll Collection Technologies
    Variable Pricing Models
    Integration with Autonomous Systems
  • Mixed Environment Modeling
  • Coexistence Strategies for Mixed Fleets
    Safety and Collision Avoidance
    Policy and Regulatory Considerations
  • Case Studies
  • Successful Implementations of Autonomous Traffic Management
    Lessons Learned from Global Deployments
  • Future Directions and Innovations
  • Emerging Technologies in Autonomous Traffic Management
    Potential for Urban Traffic Transformation
    Long-term Societal Impacts
  • Final Project
  • Design a Traffic Management System Incorporating Autonomous Vehicles
    Present Findings and Propose Implementation Strategies

Subjects

Computer Science