Research on adaptive speed control method of an autonomous vehicle passing a speed bump on the highway based on a genetic algorithm

Wang, Long; Yang, Zhiyong; Chen, Xiangdong; Zhang, Ruixiang; Zhou, Yu

doi:10.5194/ms-13-647-2022

Cited by 5 publications

(2 citation statements)

References 22 publications

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“…The multi-objective optimization model mainly uses the idea of GA for reference [24]. Several vehicle comfort indices are selected to establish the multi-objective function, and then the vehicle speed and active control force are taken as design variables to continuously run in cycles in order to generate new populations, select, crossover and mutate.…”

Section: Multi-objective Optimization Methods Of Active Suspension Ve...mentioning

confidence: 99%

Bulletin of the Polish Academy of Sciences: Technical Sciences

Yang,

Wang,

et al. 2022

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In order to improve the safety and comfort of autonomous vehicles passing through the expressway, relevant departments of expressway construction often design and lay consecutive speed control humps (SCHs) with cross-sections of different shapes according to different road conditions, such as the combination of trapezoidal and sinusoidal SCHs. In this paper, we conduct a study about the nonlinear dynamic characteristics of the autonomous vehicle passing through hybrid SCHs. Firstly, a four-degree-of-freedom (4-DOF) nonlinear model of the vehicle suspension and the speed coupling excitation model under hybrid SCHs are established. Then the fourth-fifth order Runge-Kutta method is used to simulate the nonlinear system, and its nonlinear dynamic characteristics are analyzed. The results show that chaotic motion occurs when the vehicle passes through hybrid SCHs, and the speed range of chaotic motion is obtained. Then, a direct variable feedback control method is used to suppress the chaotic vibration of semi-active suspension vehicles, and the effect is verified by simulation experiments. Finally, this paper presents a multi-objective optimization model based on a genetic algorithm (GA) for active suspension vehicles. The optimization model selects the vertical displacement and pitching angle of the vehicle body as the objective function. The research results of this paper can provide information on the ride comfort's optimization for autonomous vehicles passing through hybrid SCHs and on the design of vehicle suspension system.

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Section: Multi-objective Optimization Methods Of Active Suspension Ve...mentioning

confidence: 99%

Bulletin of the Polish Academy of Sciences: Technical Sciences

Yang,

Wang,

et al. 2022

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show abstract

“…We use the root-mean-square (rms) value to dimensionlessly process the sub-objectives, such as the vertical displacement of the vehicle body, the dynamic deflection of the suspension, and the dynamic load of the wheels, thereby reducing the influence of incidental factors such as data inequality. Based on the influence level of each sub-objective, the linear weighting method is used to sum up the sub-objectives, and the objective function is expressed as follows (Wang et al, 2022):…”

Section: Establish the Objective Functionmentioning

confidence: 99%

Research on the optimal speed of vehicles passing speed bumps on the highway based on an immune algorithm

Yang,

Zhang,

Guo

et al. 2024

Mech. Sci.

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Abstract. With the advancement of vehicle technology, there is a growing demand for vehicle comfort in addition to the focus on safety and functionality. On certain accident-prone sections of highways, such as entrance and exit ramps, tunnels, and downhill stretches, continuous speed bumps are typically installed to remind vehicles to reduce their speed. However, while enhancing safety, these measures also introduce a degree of discomfort for passengers and drivers alike. Vehicle speed and the type of road speed bump are key factors influencing vehicle comfort. In order to improve the ride comfort, this paper investigates the problem of adaptive speed control for vehicles passing over different types of continuous speed bumps and proposes a method for solving the optimal speed. In this research, a 4-degree-of-freedom vehicle suspension model and a road excitation model are employed to simulate vehicle vibrations. Simulation optimisation is performed using MATLAB in conjunction with an immune algorithm to obtain the optimal vehicle speeds for traversing three types of continuous speed bumps – sinusoidal, rectangular, and trapezoidal – while adhering to specified constraints. The simulation results demonstrate that this optimisation algorithm effectively enhances the ride comfort of vehicles when navigating speed bumps. The algorithm, when applied, reduces vehicle vertical displacement, acceleration, suspension deflection, and tyre load to varying degrees when crossing speed bumps. It also reduces tyre ground clearance to some extent, achieving a balance between comfort and safety. Furthermore, the study identifies the range of comfortable vehicle speeds for traversing these three types of speed bumps, providing valuable insights for selecting the appropriate speed bump design on roads with varying speed limits.

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Nonlinear Modeling and Analysis of Vehicle Vibrations Crossing Over a Speed Bump

Alim,

Kawser

2024

J. Vib. Eng. Technol.

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Research on adaptive speed control method of an autonomous vehicle passing a speed bump on the highway based on a genetic algorithm

Cited by 5 publications

References 22 publications

Bulletin of the Polish Academy of Sciences: Technical Sciences

Bulletin of the Polish Academy of Sciences: Technical Sciences

Research on the optimal speed of vehicles passing speed bumps on the highway based on an immune algorithm

Nonlinear Modeling and Analysis of Vehicle Vibrations Crossing Over a Speed Bump

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