Mobility and Safety Benefits of Connectivity in CACC Vehicle Strings

In this paper, we re-examine the notion of string stability as it relates to safety by providing an upper bound on the maximum spacing error of any vehicle in a homogeneous platoon in terms of the input of the leading vehicle. We reinforce our previous work on lossy CACC platoons by accommodating for burst-noise behavior in the V2V link. Further, through Monte Carlo type simulations, we demonstrate that connectivity can enhance traffic mobility and safety in a CACC string even when the deceleration capabilities of the vehicles in the platoon are heterogeneous.

[1]  Rajesh Rajamani,et al.  Design and Experimental Implementation of Longitudinal Control for a Platoon of Automated Vehicles , 2000 .

[2]  Swaroop Darbha,et al.  Effect of Heterogeneity in Time Headway on Error Propagation in Vehicular Strings , 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

[3]  John Lygeros,et al.  Tools for safety-throughput analysis of automated highway systems , 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

[4]  Bart Besselink,et al.  Scalable Input-to-State Stability for Performance Analysis of Large-Scale Networks , 2018, IEEE Control Systems Letters.

[5]  E. O. Elliott Estimates of error rates for codes on burst-noise channels , 1963 .

[6]  Carlos Marcelo Pedroso,et al.  MAC-Layer Packet Loss Models for Wi-Fi Networks: A Survey , 2019, IEEE Access.

[7]  Han-Shue Tan,et al.  Design and field testing of a Cooperative Adaptive Cruise Control system , 2010, Proceedings of the 2010 American Control Conference.

[8]  Georg Carle,et al.  Framework model for packet loss metrics based on loss runlengths , 1999, Electronic Imaging.

[9]  Nathan van de Wouw,et al.  Lp String Stability of Cascaded Systems: Application to Vehicle Platooning , 2014, IEEE Transactions on Control Systems Technology.

[10]  Francisco J. Vargas,et al.  String stability for predecessor following platooning over lossy communication channels , 2018 .

[11]  M. Corless,et al.  Improved robustness bounds using covariance matrices , 1989, Proceedings of the 28th IEEE Conference on Decision and Control,.

[12]  E. Gilbert Capacity of a burst-noise channel , 1960 .

[13]  Charles A. Desoer,et al.  Longitudinal Control of a Platoon of Vehicles , 1990, 1990 American Control Conference.

[14]  M. Haseeb Rizvi,et al.  A note on matrix‐convexity , 1979 .

[15]  Nathan van de Wouw,et al.  Graceful Degradation of Cooperative Adaptive Cruise Control , 2015, IEEE Transactions on Intelligent Transportation Systems.

[16]  Swaroop Darbha,et al.  Reducing Time Headway in Homogeneous CACC Vehicle Platoons in the Presence of Packet Drops , 2019, 2019 18th European Control Conference (ECC).

[17]  Cong Wang,et al.  String Stable Heterogeneous Vehicle Platoon Using Cooperative Adaptive Cruise Control , 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

[18]  Gábor Orosz,et al.  Scalable stability analysis on large connected vehicle systems subject to stochastic communication delays , 2017 .

[19]  D. Swaroop,et al.  String Stability Of Interconnected Systems: An Application To Platooning In Automated Highway Systems , 1997 .

[20]  Petros A. Ioannou,et al.  Autonomous intelligent cruise control , 1993 .

[21]  Swaroop Darbha,et al.  Benefits of V2V Communication for Autonomous and Connected Vehicles , 2018, IEEE Transactions on Intelligent Transportation Systems.

[22]  G. Karagiannis,et al.  Impact of packet loss on CACC string stability performance , 2011, 2011 11th International Conference on ITS Telecommunications.