Distributed Coordination and Centralized Scheduling for Automobiles at Intersections
Journal
Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems
Part Of
Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems
Start Page
81
End Page
117
ISBN (of the container)
978-303128016-0
ISBN
9783031280153
9783031280160
Date Issued
2023
Author(s)
Abstract
Intersections are one of the most common conflicting scenarios, where vehicles intend to pass through them at the same time. As the technology advances, connected and autonomous vehicles (CAVs) provide a revolutionary solution at intersections. In this chapter, we consider connected and autonomous vehicles at intersections and introduce distributed and centralized approaches solving the problem of intersection management. The approaches provide feasibility, safety (collision-freeness), liveness (deadlock-freeness), stability, efficiency, and real-time decision.
SDGs
Publisher
Springer International Publishing
Type
book part