Adaptive Advanced Emergency Braking on Combined Road Friction Coefficients

Year 2024, , 118 - 124, 31.03.2024

Hasan Şahin

https://doi.org/10.30939/ijastech..1348903

Abstract

In this study, an Advanced Emergency Braking System (AEBS) is adopted to the combined road friction coefficients by proposing an emergency steering maneuver. AEBS is one of the significant driver assistant systems to avoid rear-end collisions. AEBS supports the drivers with acoustic and optical warnings before applying the full braking maneuver. However, in special cases, such as the sudden decrease of road friction coefficient during braking, a single hard braking maneuver without a proper steering assist may not be sufficient to prevent a rear-end collision. Therefore, AEBS may work with the autonomous emergency steering systems to prevent inevitable rear-end collisions. The originality of this study arises from the necessity of the adaptation of the AEBS to work in cooperation with the autonomous emergency steering systems. A predictive controller was used to support the emergency braking maneuver with an autonomous steering maneuver via observing the yaw rate of the vehicle. The predictive controller was developed in MATLAB software. The implementation of the controller was performed in a non-linear four-wheel vehicle model in the IPG/CarMaker simulation environment. The communication between the simulation environment and MATLAB software was established in the Simulink interface of MATLAB. The results proved that the predictive controller maintained the vehicle lateral stability without causing any type of collisions.

Keywords

Advanced Driver Assistant Systems, Advanced Emergency Braking System, Autonomous Control Systems, Vehicle Control Systems

References

• [1] Isaksson-Hellman I, Lindman M. Evaluation of the Crash Mitiga-tion Effect of Low-speed Automated Emergency Braking Systems Based on Insurance Claims Data. Traffic Injury Prevention. 2016; 17:sup1, 42-47.
• [2] Hubele N, Kennedy K. Forward Collision Warning System Im-pact. Traffic Injury Prevention. 2018.
• [3] Ye Q, Chaojun G, Wang R, Zhang C, Chai Y. Stability analysis of the anti-lock braking system with time delay. ProcIMechE Part I: J Systems and Control Engineering. 2021.
• [4] Koglbauer I, Holzinger J, Eichberger A, Lex C. Autonomous emergency braking systems adapted to snowy road conditions improve drivers' perceived safety and trust. Traffic Injury Preven-tion. 2018; 19:3, 332-337.
• [5] Kim H, Song B. Vehicle Recognition Based on Radar and Vision Sensor Fusion for Automatic Emergency Braking. 13th Interna-tional Conference on Control; 2013; Gwangju, Korea.
• [6] Talih O, Tektas N. A Brief Survey on Cooperative Intelligent Transportation Systems and Applications. International Journal of Automotive Science and Technology. 2023; 7(3):259-68.
• [7] Karaman M, Korucu S. Modeling the Vehicle Movement and Braking Effect of the Hydrostatic Regenerative Braking System. Engineering Perspective 2023; 3(2), 18-27.
• [8] Gordon TJ, Lidberg M. Automated driving and autonomous func-tions on road vehicles. Vehicle System Dynamics. 2015; 53:7, 958-994.
• [9] Tagesson K, Cole D. Advanced emergency braking under split friction conditions and the influence of a destabilizing steering wheel torque. Vehicle System Dynamics. 2017; 55:7, 970-994.
• [10] Brannstrom M, Coelingh E, Sjoberg J. Decision Making on when to Brake and when to Steer to Avoid a Collision. First Interna-tional Symposium on Future Active Safety Technology toward zero-traffic-accident; 2011; Tokyo, Japan.
• [11] Kapania NR, Gerdes JC. Design of a feedback-feedforward steer-ing controller for accurate path tracking and stability at the limits of handling. Vehicle System Dynamics. 2015; 53:12, 1687-1704.
• [12] Girbés V, Armesto L, Dols J, Tornero J. An Active Safety Sys-tem for Low Speed Bus Braking Assistance. IEEE Transactions On Intelligent Transportation Systems. 2017; Vol. 18, No. 2.
• [13] He X, Liu Y, Lv C, Ji X, Liu Y. Emergency steering control of autonomous vehicle for collision avoidance and stabilization. Ve-hicle System Dynamics. 2018.
• [14] Rafaila RC, Livint G. Nonlinear Model Predictive Control of Autonomous Vehicle Steering. 19th International Conference on System Theory, Control and Computing (ICSTCC); 2015; Cheile Gradistei, Romania.
• [15] Falcone P, Tseng HE, Borrelli F, Asgari J, Hrovat D. MPC-based yaw and lateral stabilization via active front steering and braking. Vehicle System Dynamics. 2008; 46:S1, 611-628.
• [16] Isermann R, Schorn M, Stählin U. Anticollision system PRORETA with automatic braking and steering. Vehicle System Dynamics. 2008; 46:S1, 683-694.
• [17] Fekih A, Seelem S. Effective fault-tolerant control paradigm for path tracking in autonomous vehicles. Systems Science & Control Engineering. 2015; 3:1, 177-188.
• [18] Wang L. Model predictive control system design and implementa-tion using MATLAB. Springer; 2009.
• [19] Attarwala F. Modular Robust Model Predictive Control. 17th Mediterranean Conference on Control & Automation Makedonia Palace; 2009; Thessaloniki, Greece.
• [20] Wong JY. Theory of ground vehicles. New Jersey: John Wiley & Sons; 2001.
• [21] Rajamani R. Vehicle Dynamics and Control. Springer; 2006.
• [22] Best MC. Real-time characterization of driver steering behavior. Vehicle System Dynamics. 2019; 57:1, 64-85.
• [23] Satzger C, Castro R, Knoblack A, Brembeck J. Design and Vali-dation of a MPC-based Torque Blending and Wheel Slip Control Strategy. IEEE Intelligent Vehicles Symposium (IV); 2016; Gothenburg, Sweden.
• [24] Plessen MG, Bernardini D, Esen H, Bemphorad A. Spatial-Based Predictive Control and Geometric Corridor Planning for Adaptive Cruise Control Coupled with Obstacle Avoidance. IEEE Transac-tions On Control Systems Technology. 2018; Vol. 26, No. 1.
• [25] Qu T, Wang Q, Cong Y, Chen H. Modeling Driver’s Longitudi-nal and Lateral Control Behavior: A Moving Horizon Control Modeling Scheme. The 30th Chinese Control and Decision Con-ference; 2018.
• [26] Menhour L, Lechner D, Charara A. Design and experimental validation of linear and nonlinear vehicle steering control strate-gies, Vehicle System Dynamics. 2012; 50:6, 903938.
• [27] Ungoren A, Peng H. An adaptive lateral preview driver model. Vehicle System Dynamics. 2005; 43:4, 245-259.
• [28] Kritayakirana K, Gerdes JC. Using the centre of percussion to design a steering controller for an autonomous race car. Vehicle System Dynamics. 2012; 50:sup1, 33-51.
• [29] Milani S, Unlusoy Y, Marzbani H and Jazar R. Semitrailer Steer-ing Control for Improved Articulated Vehicle Manoeuvrability and Stability. Nonlinear Engineering. 2019; 8:568-581.