A Platoon Control Method based on Cooperative Adaptive Cruise Control Vehicles in Traffic Flow
Duc Lich Luu, Huu Truyen Pham, Thanh Binh Nguyen, Sang Truong Ha, Ciprian Lupu
Citation: Proceedings of the 2022 Seventh International Conference on Research in Intelligent and Computing in Engineering, Vu Dinh Khoa, Shivani Agarwal, Gloria Jeanette Rincon Aponte, Nguyen Thi Hong Nga, Vijender Kumar Solanki, Ewa Ziemba (eds). ACSIS, Vol. 33, pages 15–20 (2022)
Abstract. The increasing number of vehicles are one of the causes of accidents, exhaust pollution and traffic congestion in urban areas. These pressing problems force human to looking for the approach for a higher car flow on highways in less time and with fewer accidents. In that context, one of the approach growing roadway capacity is to make a car/truck grouping moving in a strings in order to follow short distances between the members of the platoon. This approach ensures the simultaneous deceleration or acceleration of all cars in the string. This work gives a control strategy for Cooperative adaptive cruise control (Cooperative ACC) in a platoon through a performance evaluation by simulations. The main goal of platoon control is to stay the desired spacing from front cars of the string using the constant time headway (CTH) policy while keeping the same velocity with the other cars. The results of the numerical example have demonstrated the effectiveness and applicability of the proposed approach for cars platoon.
- C. Wu, Z. Xu, Y. Liu, C. Fu, K. Li, and M. Hu, “Spacing policies for adaptive cruise control: A survey,” IEEE Access, vol. 8, pp. 50 149–50 162, 2020.
- D. L. Luu and C. Lupu, “Vehicle string using spacing strategies for cooperative adaptive cruise control system,” UPB Sci. Bull., Series C, vol. 83, no. 1, pp. 91–106, 2021.
- S. E. Shladover, “Operation of automated guideway transit vehicles in dynamically reconfigured trains and platoons (extended summary),” Tech. Rep., 1979.
- C. Bergenhem, Q. Huang, A. Benmimoun, and T. Robinson, “Challenges of platooning on public motorways,” in 17th world congress on intelligent transport systems, 2010, pp. 1–12.
- B. Kuhn, M. Lukuc, M. Poorsartep, J. Wagner, K. N. Balke, D. Middleton, P. Songchitruksa, N. Wood, M. Moran et al., “Commercial truck platooning demonstration in texas–level 2 automation.” Texas. Dept. of Transportation. Research and Technology Implementation Office, Tech. Rep., 2017.
- A. Davila, E. del Pozo, E. Aramburu, and A. Freixas, “Environmental benefits of vehicle platooning,” SAE Technical Paper, Tech. Rep., 2013.
- S. E. Shladover, “Path at 20—history and major milestones,” IEEE Transactions on intelligent transportation systems, vol. 8, no. 4, pp. 584–592, 2007.
- G. N. Bifulco, L. Pariota, F. Simonelli, and R. Di Pace, “Development and testing of a fully adaptive cruise control system,” Transportation Research Part C: Emerging Technologies, vol. 29, pp. 156–170, 2013.
- A. Tigadi, R. Gujanatti, A. Gonchi, and B. Klemsscet, “Advanced driver assistance systems,” International Journal of Engineering Research and General Science, vol. 4, no. 3, pp. 151–158, 2016.
- S. Darbha, S. Konduri, and P. R. Pagilla, “Vehicle platooning with constant spacing strategies and multiple vehicle look ahead information,” IET Intelligent Transport Systems, vol. 14, no. 6, pp. 589–600, 2020.
- G. Guo and D. Li, “Adaptive sliding mode control of vehicular platoons with prescribed tracking performance,” IEEE Transactions on Vehicular Technology, vol. 68, no. 8, pp. 7511–7520, 2019.
- P. A. Ioannou and C.-C. Chien, “Autonomous intelligent cruise control,” IEEE Transactions on Vehicular technology, vol. 42, no. 4, pp. 657–672, 1993.
- Y. Jiang, “Modeling and simulation of adaptive cruise control system,” arXiv preprint https://arxiv.org/abs/2008.02103, 2020.
- T. Takahama and D. Akasaka, “Model predictive control approach to design practical adaptive cruise control for traffic jam,” International Journal of Automotive Engineering, vol. 9, no. 3, pp. 99–104, 2018.
- S. E. Li, Y. Zheng, K. Li, Y. Wu, J. K. Hedrick, F. Gao, and H. Zhang, “Dynamical modeling and distributed control of connected and automated vehicles: Challenges and opportunities,” IEEE Intelligent Transportation Systems Magazine, vol. 9, no. 3, pp. 46–58, 2017.
- D. L. Luu, C. Lupu, and T. Van Nguyen, “Design and simulation implementation for adaptive cruise control systems of vehicles,” in 2019 22nd International Conference on Control Systems and Computer Science (CSCS). IEEE, 2019, pp. 1–6.
- A. G. Ulsoy, H. Peng, and M. Çakmakci, Automotive control systems. Cambridge University Press, 2012.
- M. Tsujii, H. Takeuchi, K. Oda, and M. Ohba, “Application of self-tuning to automotive cruise control,” in 1990 American Control Conference. IEEE, 1990, pp. 1843–1848.
- G. Ma, B. Wang, and S. S. Ge, “Robust optimal control of connected and automated vehicle platoons through improved particle swarm optimization,” Transportation Research Part C: Emerging Technologies, vol. 135, p. 103488, 2022.
- V. K. Vegamoor, S. Darbha, and K. R. Rajagopal, “A review of automatic vehicle following systems,” Journal of the Indian Institute of Science, vol. 99, no. 4, pp. 567–587, 2019.
- C. Pan, A. Huang, J. Wang, L. Chen, J. Liang, W. Zhou, L. Wang, and J. Yang, “Energy-optimal adaptive cruise control strategy for electric vehicles based on model predictive control,” Energy, vol. 241, p. 122793, 2022.