What You Need to Know Before
You Start
Starts 6 June 2025 09:42
Ends 6 June 2025
00
days
00
hours
00
minutes
00
seconds
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
1 hour 1 minute
Optional upgrade avallable
Not Specified
Progress at your own speed
Free Video
Optional upgrade avallable
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
- Fundamentals of Traffic Management
- Autonomous Vehicles in Traffic Networks
- Highway Traffic Efficiency
- Routing Networks Optimization
- Toll Lane Management
- Mixed Environment Modeling
- Case Studies
- Future Directions and Innovations
- Final Project
Overview of Autonomous Vehicle Technology
Levels of Autonomous Driving
Current Trends in Autonomous Vehicles
Traffic Flow Theory
Traffic Control Devices
Smart Traffic Infrastructure
Interaction of Autonomous and Human-Driven Vehicles
V2X Communication Protocols
Impact on Traffic Flow and Congestion
Platooning and Convoy Strategies
Adaptive Cruise Control Systems
Intelligent Speed Adaptation
Dynamic Routing Algorithms
Predictive Traffic Modelling
Real-time Data Utilization
Automated Toll Collection Technologies
Variable Pricing Models
Integration with Autonomous Systems
Coexistence Strategies for Mixed Fleets
Safety and Collision Avoidance
Policy and Regulatory Considerations
Successful Implementations of Autonomous Traffic Management
Lessons Learned from Global Deployments
Emerging Technologies in Autonomous Traffic Management
Potential for Urban Traffic Transformation
Long-term Societal Impacts
Design a Traffic Management System Incorporating Autonomous Vehicles
Present Findings and Propose Implementation Strategies
Subjects
Computer Science