Fuzzy Logic Velocity Optimization of Autonomous Vehicles Based on Road Bump Geometry

Zein, Yassine; Darwiche, Mohamad

doi:10.54729/2959-331x.1016

Cited by 2 publications

(1 citation statement)

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“…When drivers encounter speed bumps while driving, they rapidly identify the type of speed bump and adjust their vehicle's speed based on their subjective experience to minimise discomfort during passage (Barreno et al, 2022). In the case of semi-automated driving, forward-facing cameras are used to detect speed bumps on the road ahead, and the driving assistance system assists the driver in adjusting the vehicle's speed to reduce vehicle vibrations (Zein and Darwiche, 2020). However, vehicles lack the capability for subjective evaluation, making it challenging to adjust to an appropriate speed based on comfort requirements when encountering speed bumps.…”

Section: Introductionmentioning

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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Section: Introductionmentioning

confidence: 99%