Fuzzy Cruise Control for Connected Vehicles Based on Vehicle Networking

Wu, Lipu; Qian, Cheng; Zhou, Hui; Chen, Han; Liu, Lei; Sun, Dehui

doi:10.1109/cac48633.2019.8997331

Cited by 1 publication

(1 citation statement)

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“…In formulating fuzzy rules, the dynamic error and the overshoot must be considered comprehensively (Adriansyah et al, 2019). Among them, the overshoot affects the vehicle's comfort, which means that the acceleration applied by the vehicle cannot be too significant (Wu et al, 2019).…”

Section: Formulation Of Fuzzy Rules For Cruise Controlmentioning

confidence: 99%

Dubin’s Curve of RRT* Merged With A*

Abdurohman

Kang

Hidayat

2022

IJEC

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ACC (Adaptive Cruise Control) is a crucial technology to control the automatic driving of a vehicle, which can automatically adjust the driving status of the vehicle according to the driving status of the vehicle in front so that the vehicle always keeps a safe distance from the vehicle in front, which can primarily relieve the driver's driving pressure and avoid tailgating. The research is of great significance to the realization of intelligent driving of vehicles. In this paper, the fuzzy PID control method is used to study the vehicle ACC system. Firstly, the basic concept and key components of the ACC system are explained, the vehicle longitudinal dynamics model is established, and the primary ranges of , and parameters are determined through simulation; based on this, the fuzzy PID control algorithm of vehicle ACC is designed considering three different driving conditions of fixed speed and following cruise mode. The fuzzy PID control algorithm of the vehicle ACC system is designed and established. The joint simulation model of MATLAB is used to simulate the vehicle ACC system under three different driving conditions. The simulation results show that the vehicle ACC system designed in this paper ensures the safety and stability of following the vehicle while providing the vehicle's ride's comfort.

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Section: Formulation Of Fuzzy Rules For Cruise Controlmentioning

confidence: 99%