پیوندهای مفید
آمار
| تعداد نشریات | 8 |
| تعداد شماره‌ها | 412 |
| تعداد مقالات | 5,463 |
| تعداد مشاهده مقاله | 5,956,744 |
| تعداد دریافت فایل اصل مقاله | 5,281,300 |
A New Adaptive Cruise Control Strategy Considering Road Conditions | ||
| AUT Journal of Mechanical Engineering | ||
| مقاله 3، دوره 7، شماره 4، 2023، صفحه 355-366 اصل مقاله (1.23 M) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/ajme.2024.22878.6081 | ||
| نویسندگان | ||
| Mohammad Foroutan Moharrami؛ Mohsen Mohammadi* | ||
| School of Mechanical Engineering, Shiraz University, Shiraz, Iran | ||
| چکیده | ||
| This abstract serves as a concise yet comprehensive overview of this research's contributions, highlighting its significance in advancing Adaptive Cruise Control technology and autonomous vehicles. The provided paper introduces an innovative approach to Adaptive Cruise Control systems, emphasizing safety, comfort, and efficiency. Also, the proposed Adaptive Cruise Control model surpasses traditional longitudinal velocity control by integrating lateral motion and surface condition considerations. The proposed control strategy uses a new tail-following approach with the implementation of a new throttle valve controller which results in a smoother deceleration with an average of 40 percent decrease in maximum deceleration value while following other vehicles. Also, the implementation of brakes is minimized to lower the overall energy waste in vehicle motion. The proposed Adaptive Cruise Control can regulate braking force and tail-following distance based on road surface material and circumstances. This action enhances safety while driving on various roads and weather conditions. One of the innovative sections in this study is the integration of lateral motion with Adaptive Cruise Control. This approach helps the vehicle to stay laterally stable by limiting the lateral acceleration of the vehicle. The research signifies a notable advancement in Adaptive Cruise Control technology, establishing a connection between vehicle dynamics and adaptive control algorithms. | ||
| کلیدواژه‌ها | ||
| Adaptive Cruise Control؛ Longitudinal Motion؛ Autonomous Vehicle؛ Dynamic Control؛ Control Algorithm | ||
| مراجع | ||
|
[1] L. Yu, R. Wang, Researches on Adaptive Cruise Control system: A state of the art review, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 236(2-3) (2022) 211-240.
[2] H.A. Ignatious, M. Khan, An overview of sensors in Autonomous Vehicles, Procedia Computer Science, 198 (2022) 736-741.
[3] L. Liu, S. Lu, R. Zhong, B. Wu, Y. Yao, Q. Zhang, W. Shi, Computing systems for autonomous driving: State of the art and challenges, IEEE Internet of Things Journal, 8(8) (2020) 6469-6486.
[4] I. Mahdinia, R. Arvin, A.J. Khattak, A. Ghiasi, Safety, energy, and emissions impacts of adaptive cruise control and cooperative adaptive cruise control, Transportation Research Record, 2674(6) (2020) 253-267.
[5] T. Gillespie, Fundamentals of vehicle dynamics, SAE international, 2021.
[6] Y. Li, J. Ibanez-Guzman, Lidar for autonomous driving: The principles, challenges, and trends for automotive lidar and perception systems, IEEE Signal Processing Magazine, 37(4) (2020) 50-61.
[7] Z. Sun, Z. Wen, X. Zhao, Y. Yang, S. Li, Real-world driving cycles adaptability of electric vehicles, World Electric Vehicle Journal, 11(1) (2020) 19.
[8] J. Orlovska, C. Wickman, R. Söderberg, Naturalistic driving study for Automated Driver Assistance Systems (ADAS) evaluation in the Chinese, Swedish and American markets, Procedia CIRP, 93 (2020) 1286-1291.
[9] B. Kővári, F. Hegedüs, T. Bécsi, Design of a reinforcement learning-based lane keeping planning agent for automated vehicles, Applied Sciences, 10(20) (2020) 7171.
[10] G. Balan, S. Arumugam, S. Muthusamy, H. Panchal, H. Kotb, M. Bajaj, S.S. Ghoneim, Kitmo, An improved deep learning-based technique for driver detection and driver assistance in electric vehicles with better performance, International Transactions on Electrical Energy Systems, 2022 (2022) 1-16.
[11] X. Duan, F. Schockenhoff, A. Koch, Implementation of driving cycles based on driving style characteristics of autonomous vehicles, World ElectriWc Vehicle Journal, 13(6) (2022) 108.
[12] N.A. Chandramohan, Design and modeling of adaptive cruise control system using petri nets with fault tolerance capabilities, Purdue University, 2018.
[13] J.E. Naranjo, C. González, R. García, T. De Pedro, ACC+ Stop&go maneuvers with throttle and brake fuzzy control, IEEE Transactions on intelligent transportation systems, 7(2) (2006) 213-225.
[14] F. Schrödel, P. Herrmann, N. Schwarz, An improved multi-object adaptive cruise control approach, IFAC-PapersOnLine, 52(8) (2019) 176-181.
[15] S. Boddupalli, A.S. Rao, S. Ray, Resilient cooperative adaptive cruise control for autonomous vehicles using machine learning, IEEE Transactions on Intelligent Transportation Systems, 23(9) (2022) 15655-15672.
[16] J.H. Yang, D.J. Kim, C.C. Chung, Predictive collision avoidance control with optimized ride comfort in vehicle lateral motion control, in: 2020 20th International Conference on Control, Automation and Systems (ICCAS), IEEE, 2020, pp. 737-742.
[17] M. Belrzaeg, A.A. Ahmed, A.Q. Almabrouk, M.M. Khaleel, A.A. Ahmed, M. Almukhtar, Vehicle dynamics and tire models: An overview, World Journal of Advanced Research and Reviews, 12(1) (2021) 331-348.
[18] R. Srivastava, S. Kumar, An alternative approach for calculation of braking force of an eddy-current brake, IEEE Transactions on Magnetics, 45(1) (2009) 150-154.
[19] H.B. Pacejka, E. Bakker, The magic formula tyre model, Vehicle system dynamics, 21(S1) (1992) 1-18.
[20] Y. Huang, Y. Chen, Vehicle lateral stability control based on shiftable stability regions and dynamic margins, IEEE transactions on vehicular technology, 69(12) (2020) 14727-14738.
[21] Z. Yang, Z. Wang, M. Yan, An optimization design of adaptive cruise control system based on MPC and ADRC, Actuators, 10(6) (2021) 110. | ||
|
آمار تعداد مشاهده مقاله: 147 تعداد دریافت فایل اصل مقاله: 241 |
||