Tuning of Stop and Go driving control strategies using driver behaviour analysis

Canale, Massimo; Malan, S.

doi:10.1109/ivs.2002.1187985

Cited by 7 publications

(9 citation statements)

References 8 publications

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“…where HE, HW, HC, GD, FC, FW, FE represent negative large, negative medium, negative small, zero, positive small, positive medium, and positive large, respectively. , it is believed that the demand for comfort and fuel economy is greater; and when ς is at [1,5], it is indicated that the demand for vehicle following safety is greater. From this, the membership functions of the input variables and output variables can be obtained, as shown in Figure 2.…”

Section: Hf Hc Gd Fc Fe He Hc Gd Fc Fe Gd Fc Fw Fementioning

confidence: 99%

“…Chan et al [4] used a distributed arithmetic structure based on FPGA-based high-efficiency PID as the ACC control algorithm. The study of Cananle et al [5] personalized an adaptive cruise control with stop and go features (ACC/S&G) for urban scenery. Daniele et al [6] adopted an adaptive method involving the terminal cost and constraint set MPC approach, which is commonly used for fixed set-point regulation, in order to achieve good tracking of a time-varying reference trajectory.…”

Section: Introductionmentioning

confidence: 99%

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Research on Vehicle Adaptive Cruise Control Method Based on Fuzzy Model Predictive Control

Mao

Yang

et al. 2021

Machines

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Under complex working conditions, vehicle adaptive cruise control (ACC) systems with fixed weight coefficients cannot guarantee good car following performance under all conditions. In order to improve the tracking and comfort of vehicles in different modes, a fuzzy model predictive control (Fuzzy-MPC) algorithm is proposed. Based on the comprehensive consideration of safety, comfort, fuel economy and vehicle limitations, the objective function and constraints are designed. A relaxation factor vector is introduced to soften the hard constraint boundary in order to solve this problem, for which there was previously no feasible solution. In order to maintain driving stability under complex conditions, a multi-objective optimization method, which can update the weight coefficient online, is proposed. In the numerical simulation, the values of velocity, relative distance, acceleration and acceleration change rate under different conditions are compared, and the results show that the proposed algorithm has better tracking and stability than the traditional algorithm. The effectiveness and reliability of the Fuzzy-MPC algorithm are verified by co-simulation with the designed PID lower layer control algorithm with front feedforward and feedback.

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Section: Hf Hc Gd Fc Fe He Hc Gd Fc Fe Gd Fc Fw Fementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on Vehicle Adaptive Cruise Control Method Based on Fuzzy Model Predictive Control

Mao

Yang

et al. 2021

Machines

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“…For the analysis of the relationship between the transient time and the controller gains the function of the distance error is approximated with the linearized differential equation (13) and examined for a specific start condition. The transient time is defined here by the time until the distance error is finally below a threshold of ∆d g = 1m.…”

Section: Transient Timementioning

confidence: 99%

“…For a camera based system this is called the position-based approach. Regardless of the sensor system there are five types of controllers in the literature, listed in the following with one example: fuzzy controller [10], cascade controller [11], model based controller [12], sliding mode controller [11] and finally controller based on modeling the human behavior [13].…”

Section: Introductionmentioning

confidence: 99%

Design and analysis of an image-based ACC controller

Seyffarth

2011

IEEE Conference on Decision and Control and European Control Conference

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It is an important aim to reduce the cost of driver assistance systems to bring their benefit in safety and comfort to as many drivers as possible. A single camera used as an environmental sensor has the potential for a significant cost reduction. Based on the currently available camera and image processing technology this work evaluates how the portfolio of the camera based assistance systems can be expanded by an ACC function. By transferring the method of image-based controlling from robotic to distance control of vehicles, a known controller for radar systems is adapted to the characteristics of the camera. The detailed analysis of the resulting controller shows the influence of the controller parameters on different aspects of the system behavior.

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“…Most of the times, the driving style is assessed by questionnaires [7] or by specific driving parameters (e.g. throttle opening angle, brake circuit, collision time [8]). Whereas the first approach focuses on a long-term trait, the second one is more sensitive towards situational context factors and renders a driver's current state.…”

Section: Introductionmentioning

confidence: 99%

ACC with enhanced situation awareness to reduce behavior adaptations in lane change situations

Freyer

Deml

Maurer

et al. 2007

2007 IEEE Intelligent Vehicles Symposium

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This paper describes a refined lane change support function to enhance current Adaptive Cruise Control (ACC). Its design is based on a field experimental highway study in which experienced participants were asked to drive first without and afterwards with ACC support. The first condition serves as a baseline to identify different driving styles (fluid, moderate, and comfortable) within the sample and to describe the drivers' manual lane change behavior. By contrasting both experimental conditions, it is analyzed how the lane change behavior is altered by ACC and a situation aware ACC system with a lane change support function is described.

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Tuning of Stop and Go driving control strategies using driver behaviour analysis

Cited by 7 publications

References 8 publications

Research on Vehicle Adaptive Cruise Control Method Based on Fuzzy Model Predictive Control

Research on Vehicle Adaptive Cruise Control Method Based on Fuzzy Model Predictive Control

Design and analysis of an image-based ACC controller

ACC with enhanced situation awareness to reduce behavior adaptations in lane change situations

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