Efficiency analysis of formally verified adaptive cruise controllers

We consider an adaptive cruise control system in which control decisions are made based on position and velocity information received from other vehicles via V2V wireless communication. If the vehicles follow each other at a close distance, they have better wireless reception but collisions may occur when a follower car does not receive notice about the decelerations of the leader car fast enough to react before it is too late. If the vehicles are farther apart, they would have a bigger safety margin, but the wireless communication drops out more often, so that the follower car no longer receives what the leader car is doing. In order to guarantee safety, such a system must return control to the driver if it does not receive an update from a nearby vehicle within some timeout period. The value of this timeout parameter encodes a tradeoff between the likelihood that an update is received and the maximum safe acceleration. Combining formal verification techniques for hybrid systems with a wireless communication model, we analyze how the expected efficiency of a provably-safe adaptive cruise control system is affected by the value of this timeout.

[1]  François Spies,et al.  Impact of radio propagation models in vehicular ad hoc networks simulations , 2006, VANET '06.

[2]  Emmanuel Chaput,et al.  Simulation of vehicular ad-hoc networks: Challenges, review of tools and recommendations , 2011, Comput. Networks.

[3]  S. Moser,et al.  Interactive Realistic Simulation of Wireless Networks , 2007, 2007 IEEE Symposium on Interactive Ray Tracing.

[4]  Hannes Hartenstein,et al.  An Empirical Model for Probability of Packet Reception in Vehicular Ad Hoc Networks , 2009, EURASIP J. Wirel. Commun. Netw..

[5]  Michael Maile,et al.  Vehicle Safety Communications – Applications (VSC-A) Final Report: Appendix Volume 1 System Design and Objective Test , 2011 .

[6]  Mate Boban,et al.  Experimental study on the impact of vehicular obstructions in VANETs , 2010, 2010 IEEE Vehicular Networking Conference.

[7]  Andreas Meier,et al.  Design of 5.9 ghz dsrc-based vehicular safety communication , 2006, IEEE Wireless Communications.

[8]  André Platzer,et al.  Differential Dynamic Logic for Hybrid Systems , 2008, Journal of Automated Reasoning.

[9]  André Platzer,et al.  Logical Analysis of Hybrid Systems - Proving Theorems for Complex Dynamics , 2010 .

[10]  André Platzer,et al.  KeYmaera: A Hybrid Theorem Prover for Hybrid Systems (System Description) , 2008, IJCAR.

[11]  André Platzer,et al.  Adaptive Cruise Control: Hybrid, Distributed, and Now Formally Verified , 2011, FM.

[12]  Hannes Hartenstein,et al.  A tutorial survey on vehicular ad hoc networks , 2008, IEEE Communications Magazine.

[13]  André Platzer,et al.  Logics of Dynamical Systems , 2012, 2012 27th Annual IEEE Symposium on Logic in Computer Science.

[14]  J. Gozalvez,et al.  On the importance of application requirements in cooperative vehicular communications , 2011, 2011 Eighth International Conference on Wireless On-Demand Network Systems and Services.

[15]  Marta Z. Kwiatkowska,et al.  PRISM 4.0: Verification of Probabilistic Real-Time Systems , 2011, CAV.

[16]  Antoine Girard,et al.  SpaceEx: Scalable Verification of Hybrid Systems , 2011, CAV.