Evasion planning for autonomous vehicles at intersections

Autonomous intersection management (AIM) is a new intersection control protocol that exploits the capabilities of autonomous vehicles to control traffic at intersections in a way better than traffic signals and stop signs. A key assumption of this protocol is that vehicles can always follow their trajectories. But mechanical failures can occur in real life, causing vehicles to deviate from their trajectories. A previous approach for handling mechanical failure was to prevent vehicles from entering the intersection after the failure. However, this approach cannot prevent collisions among vehicles already in the intersection or too close to stop because (1) the lack of coordination among vehicles can cause collisions during the execution of evasive actions; and (2) the intersection may not have enough room for evasive actions. In this paper, we propose a preemptive approach that pre-computes evasion plans for several common types of mechanical failures before vehicles enter an intersection. This preemptive approach is necessary because there are situations in which vehicles cannot evade without pre-allocation of space for evasion. We present a modified AIM protocol and demonstrate the effectiveness of evasion plan execution on a miniature autonomous intersection testbed.

Authors

• Tsz-Chiu Au
• Chien-Liang Fok
• Sriram Vishwanath
• Christine Julien 0001
• Peter Stone 0001

Keywords

• Vehicles
• Tiles
• Trajectory
• Protocols
• Safety
• Mathematical model
• Mobile robots
• Autonomous Vehicles
• Light Signal
• Failure Mechanism
• Lack Of Coordination
• Execution Plan
• Stop Sign
• Traffic Stops
• Traffic Congestion
• Boundary Value
• Self-driving
• Vehicle Position
• Simulation Time Step
• Vehicle Trajectory
• Steering Angle
• Left Turn
• Setting Of Failure
• Set Of Vehicles
• Acceleration Profile
• Kind Of Failure
• Collision Avoidance System
• Control Of Autonomous Vehicles