Author(s)

Jun Wei, Lu Xiong^*

Affiliation(s)

School of Automotive Studies, Tongji University, Shanghai 201804, China.

Corresponding Author

Lu Xiong

ABSTRACT

Due to the complex and variable driving conditions of the leading vehicle, it is difficult to control the distance between vehicles when following, resulting in poor driving comfort and safety. Based on this, this paper proposes an adaptive cruise control considering the variable driving conditions of the leading vehicle. Firstly, the longitudinal dynamics model of the self-vehicle is established using the Carsim software. Then, a safety distance model considering the speed of the vehicle in front is established, and the tracking control of the self-vehicle to the leading vehicle is realized based on model predictive control (MPC). Finally, the following vehicle simulation experiments are completed under different driving conditions of the leading vehicle. The results show that the adaptive cruise control strategy based on the improved safety distance model can achieve comfortable and safe following under different driving conditions of the leading vehicle.

KEYWORDS

Adaptive cruise control; Model predictive control; Dynamics model; Safety distance model

CITE THIS PAPER

Jun Wei, Lu Xiong. Adaptive cruise control considering the variability of the leading vehicle's driving conditions. Eurasia Journal of Science and Technology. 2025, 7(4): 14-20. DOI: https://doi.org/10.61784/ejst3097.

REFERENCES

[1] Li Yongfu, Fan Junhong, Zhu Hao, et al. Longitudinal cooperative control of vehicle platoon considering electronic throttle opening angle. Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition), 2023, 35(04): 742-753.

[2] Shakouri P, Ordys A, Askari M R. Adaptive cruise control with stop & go function using the state-dependent nonlinear model predictive control approach. ISA Transactions, 2012, 51(5): 622-631.

[3] Ganjib, Kouzania Z, Khoosy, et al. Adaptive cruise control of a HEV using sliding mode control. Expert Systems with Applications, 2014, 41(2): 607-615.

[4] Dang R, Wang J, Li S E, et al. Coordinated adaptive cruise control system with lane-change assistance. IEEE Transactions on Intelligent Transportation Systems, 2015, 16(5): 1-11.

[5] Li S E. Economy-oriented vehicle adaptive cruise control with coordinating multiple objectives function. Vehicle System Dynamics, 2012, 51(1): 1-17.

[6] Yang J, Peng J, Zhang Q, et al. Monocular vision approach for Soft Actor-Critic based car-following strategy in adaptive cruise control. Expert Systems With Applications, 2025, 265: 125999-125999.

[7] Chen Q, Gan L, Jiang Z, et al. Study on multi-objective adaptive cruise control of intelligent vehicle based on multi-mode switching. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2024, 238(14): 4505-4517.

[8] Hu D, Zhao J, Zheng J, et al. An Adaptive Cruise Control Strategy for Intelligent Vehicles Based on Hierarchical Control.World Electric Vehicle Journal, 2024, 15(11): 529-529.

[9] Chen J, Tao F, Fu Z, et al. Vehicle-Following Control Based on Continuous Synthesis Variable Time Headway Model. International Journal of Fuzzy Systems, 2024, 27(3): 1-19.

[10] He Liyang, Feng Jianbo, Wang Yanxue, et al. Research on vehicle adaptive cruise control based on MPC and improved ADRC. Modern Manufacturing Engineering, 2024(08): 95-101+158.

[11] An Tingyu, Chen Ting, Gao Tao, et al. An Adaptive Cruise Control Strategy with Improved Preceding Vehicle State Prediction. Journal of Tongji University(Natural Science), 2024, 52(10): 1579-1587.

[12] Li Shengqin, Ren Xiwang, Feng Qiushi. Adaptive Cruise Control for Electric Vehicles Based on Hierarchical Control. Journal of Jiangsu University(Natural Science Edition), 2025, 46(03): 257-265.

[13] Gu Zhiqiang, Zhang Huajie. Multi Mode ACC Switching Control Strategy Based on Fuzzy Logic. Machinery Design & Manufacture, 2025: 1-8.

[14] Yang Mingfei, Tian Jie. Research on adaptive cruise control of pure electric vehicles. Journal of Chongqing University of Technology(Natural Science), 2023, 37(4): 19-26.

[15] Zhao Shuen, Zhang Liang, Gan Huafu, et al. Hierarchical Control of Adaptive Cruise System of Intelligent Electric Vehicle. Journal of Chongqing Jiaotong University(Natural Science), 2023, 42(3): 135-142.

[16] Swaroop D, Hedrick J K, Chien C C, et al. A comparision of spacing and headway control laws for automatically controlled vehicles. Vehicle System Dynamics, 1994, 23(1): 597-625.

[17] Zhang Liangxiu, Wu Guangqiang, Guo Xiaoxiao. Vehicular Multi-objective Adaptive Cruise Control Algorithm. Journal of Xi'an Jiaotong University, 2016, 50(11): 136-143.