Collision free autonomous ground traffic: a model predictive control approach

  • Authors:
  • Kyoung-Dae Kim

  • Affiliations:
  • Texas A&M University, TX

  • Venue:
  • Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems
  • Year:
  • 2013

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Abstract

Even with recent advances in electronics, sensors, and communication technologies, it is still a grand challenge to develop an autonomous transportation system in which each vehicle can autonomously coordinate with other vehicles and drive itself on a road with a safety guarantee. We propose an approach to address this challenge. We formulate a Model Predictive Control (MPC) problem to generate a feasible trajectory for a vehicle. Constraints are particularly designed to ensure inter-vehicle safety. To further achieve system-wide safety and liveness, we additionally propose several simple yet effective rules for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) coordination. We establish system-wide safety and also liveness of the resulting autonomous traffic in various traffic situations such as single lane traffic, multi-lane traffic, and intersection crossing traffic.