Two approaches to the adaptive cruise control (ACC) design

Chamraz, Stefan; Balogh, Richard

doi:10.1109/cyberi.2018.8337542

Cited by 17 publications

(8 citation statements)

References 1 publication

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“…Still, when faced with complex road conditions in real situations, the road conditions faced by the vehicle are summarized into seven categories, and the fuzzy PID control method is used to study the problem. First, the PID method is robust and suitable for various control fields (Chamraz & Balogh, 2018). Second, the fuzzy control summarizes the driver's rich driving experience and can adjust the PID control parameters (Anand & Ohol, 2022;Aniculaesei et al, 2018).…”

Section: Figure 1 Consists Of the Acc Systemmentioning

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: Figure 1 Consists Of the Acc Systemmentioning

confidence: 99%

Dubin’s Curve of RRT* Merged With A*

Abdurohman

Kang

Hidayat

2022

IJEC

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“…Adaptive cruise control (ACC) is a handy electronic device, especially on a highway, which helps to maintain constant speed but respecting a minimum preset distance compared to the vehicle in front [54][55][56]. It is adaptive because it automatically adapts the car's speed to that of the other car traveling in front.…”

Section: Adaptive Cruise Controlmentioning

confidence: 99%

An Overview on the Current Status and Future Perspectives of Smart Cars

2020

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In recent years, the smart car sector has been increasing enormously in the Internet of Things (IoT) market. Furthermore, the number of smart cars seems set to increase over the next few years. This goal will be achieved because the application of recent IoT technologies to the automotive sector opens up innovative opportunities for the mobility of the future, in which connected cars will be more and more prominent in smart cities. This paper aims to provide an overview of the current status and future perspectives of smart cars, taking into account technological, transport, and social features. An analysis concerning the approaches to making smart a generic car, the possible evolutions that could occur in the coming decades, the characteristics of 5G, ADAS (advanced driver assistance systems), and the power sources is carried out in this paper.

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“…An effective ACC system should balance the traffic condition of the road, the vehicle performance, and the driver's demanded velocity. Currently available PID-based ACC systems (Canale and Malan, 2003;Chamraz and Balogh, 2018) and proposed MPC-based approaches (Naus et al, 2008;Yang et al, 2021) are often tuned to balance this trade-off for various operating environments. Although 'adaptive' or gain-scheduled versions (Radke and Isermann, 1987) can be sought, the fixed structure of these approaches limits full adaptation throughout the lifetime of the vehicle.…”

Section: Introductionmentioning

confidence: 99%

“…In collision avoidance problems, for instance, the CBF can be derived by considering the maximum deceleration that the system could exert to close a distance gap. When possible, it is also desirable to progressively widen the safe set to get the maximal safe domain, a task currently possible with polynomial plant dynamics and polynomial CBFs via sum-of-squares (SOS) programming (Chamraz and Balogh, 2018). Another approach that is tailored to high relative degree nonlinear dynamical systems such as those involving inertia effects is the use of exponential CBF (ECBF) (Nguyen and Sreenath, 2016).…”

Section: Introductionmentioning

confidence: 99%