On state feedback control and Lyapunov analysis of car-following model

Abstract This paper addresses the state feedback control problem of car-following model to circumvent the traffic jam phenomenon. A backstepping-based state feedback control is proposed together with corresponding closed-loop system analysis using Lyapunov theory. Different from existing Laplace transformation and transfer function based analysis method, this paper presents parameter-selection criterion with explicit considerations of initial states. The effectiveness of the proposed control method, and corresponding criterion of parameter-selection, are verified by simulation results.

[1]  Wen-Xing Zhu,et al.  Analysis of feedback control scheme on discrete car-following system , 2018, Physica A: Statistical Mechanics and its Applications.

[2]  Rongjun Cheng,et al.  An extended car-following model considering driver’s memory and average speed of preceding vehicles with control strategy , 2019, Physica A: Statistical Mechanics and its Applications.

[3]  Nan Zheng,et al.  Modelling the driving behaviour at a signalised intersection with the information of remaining green time , 2017 .

[4]  Kentaro Hirata,et al.  Decentralized delayed-feedback control of an optimal velocity traffic model , 2000 .

[5]  Jian Zhang,et al.  A car-following model accounting for the driving habits , 2019, Physica A: Statistical Mechanics and its Applications.

[6]  Shaowei Yu,et al.  An extended car-following model at signalized intersections , 2014 .

[7]  Bin Ran,et al.  A Novel Car-Following Control Model Combining Machine Learning and Kinematics Models for Automated Vehicles , 2019, IEEE Transactions on Intelligent Transportation Systems.

[8]  Nakayama,et al.  Dynamical model of traffic congestion and numerical simulation. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[9]  Tie-Qiao Tang,et al.  An extended two-lane car-following model accounting for inter-vehicle communication , 2018 .

[10]  Wen-xing Zhu,et al.  A speed feedback control strategy for car-following model , 2014 .

[11]  L. A. Pipes An Operational Analysis of Traffic Dynamics , 1953 .

[12]  Liang Chen,et al.  Analysis of trip cost allowing late arrival in a traffic corridor with one entry and one exit under car-following model , 2019 .

[13]  Chuan Ding,et al.  Impacts of SOC on car-following behavior and travel time in the heterogeneous traffic system , 2016 .

[14]  Rongjun Cheng,et al.  An extended car-following model under V2V communication environment and its delayed-feedback control , 2018, Physica A: Statistical Mechanics and its Applications.

[15]  K Konishi,et al.  Coupled map car-following model and its delayed-feedback control. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[16]  Tie-Qiao Tang,et al.  An extended car-following model with consideration of the electric vehicle’s driving range , 2015 .

[17]  Dong Chen,et al.  Feedback-based control for coupled map car-following model with time delays on basis of linear discrete-time system , 2018, Physica A: Statistical Mechanics and its Applications.

[18]  Li-Dong Zhang,et al.  Proportional–differential effects in traffic car-following model system , 2014 .