A guaranteed-comfort and safe adaptive cruise control by considering driver’s acceptance level

Mohtavipour, Seyed Mehdi; Mollajafari, Morteza; Naseri, Ali

doi:10.1007/s40435-018-0500-5

Cited by 16 publications

(6 citation statements)

References 28 publications

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“…The adaptive following model is designed to simulate the driver’s following process. The driver’s decisions are often after sensing external information, and the brain’s judgment is expressed as the control of the vehicle 22 . Therefore, this study discusses the driver’s following behavior from the perspective of vehicle control and the vehicle’s motion state and verifies the functioning of the constructed adaptive longitudinal following model that integrates the sensing process and driving characteristics.…”

Section: Resultsmentioning

confidence: 99%

“…Two standard operating conditions, ECE and FTP75 (U.S. urban cycle operating conditions), were introduced as test conditions 23 to verify the drivers’ longitudinal following behavior for different driver characteristic parameters under the same operating conditions. They were also used to analyze and compare the variability of the adaptive model in processing different driver following data and evaluating and analyzing the reproduced types of driver following behavior according to the evaluation index 22 .…”

Section: Resultsmentioning

confidence: 99%

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Adaptive driver following model that integrates perception process and driving behavior

Piao

et al. 2022

Sci Rep

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In order to meet the personalized needs of Chinese intelligent vehicles and improve the satisfaction and acceptance of human–computer interaction and collaboration in domestic intelligent vehicles. In this paper, we design an adaptive longitudinal following model that integrates the perceptual perturbation process and driver characteristics for simulating driver following behavior and studying the variability of driver following behavior. Firstly, for the independence and randomness of driver perception process, a set of random variables conforming to Wiener process is introduced to simulate the perception process of speed and following distance of the vehicle in front; secondly, for the characteristic differences of different drivers' following behavior, a driver characteristic parameter identification algorithm is designed to identify the expected collision time distance and following distance parameters of different drivers, and the identified parameters will be used for Again, a sliding mode control system based on fuzzy switching gain adjustment is designed to simulate the driver following control system. The results show that the designed following model recognizes the driver's characteristics well and can better simulate the driver's following behavior, and the following index is relatively improved by 80%.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Adaptive driver following model that integrates perception process and driving behavior

Piao

et al. 2022

Sci Rep

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“…Second, according to some recent research focusing on the driving goals and outcomes perspectives of vehicle speed assistance systems such as [70,71], driver acceptance level or preferences is a factor that needs to be taken into account to improve ITS. As Table 5 illustrates, some research such as [30,45] have concentrated on only one of the driving goals reviewed in the literature.…”

Section: Discussionmentioning

confidence: 99%

A systematic literature review of vehicle speed assistance in intelligent transportation system

Asadi

Mahini

Rahmani

2021

IET Intelligent Trans Sys

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Due to the emergence of new technologies over the past decade, vehicle speed assistance systems in intelligent transportation systems have frequently been discussed. Up to now, a systematic literature review has not been presented to discover and evaluate the different vehicle speed assistance approaches for on‐road vehicles in intelligent transportation systems. To overcome this issue, this research identified peer‐reviewed articles published in the most well‐known libraries from 2011 to 2020. 79 primary studies were then projected and a systematic analysis of the selected literature was conducted. The findings show different driving goals, namely eco‐driving, safety, comfort, travel time improvement as well as the high‐level objectives addressed by vehicle speed assistance systems. The analytical discussions are provided to show different perspectives, properties and limitations of the existing solutions. This analysis allows to provide future challenges and directions in this field of research.

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“…More theoretical and application problems are discussed in (Agrawal, 2007; Athans and Falb, 2013; Bryson and Ho, 2018; MacCluer, 2013; Naidu, 2002). Theory of controllability were used in studying fractional evolution equations such as (Kumar and Kumar, 2017; Kumar and Kumar, 2019), and the application of controllability was used in studying functional differential equations such as (Kumar and Kumar, 2015; Shukla and Patel (2021a)), and other works see (Amer et al, 2022; Bengochea and Ortigueira, 2017; Biswal et al, 2022; Bouazza et al, 2021; Boudjerida and Seba, 2022; Das and Samanta, 2021; Ezzahri et al, 2018; Fiuzy and Shamaghdari, 2022; Mohtavipour et al, 2019; Ibrahim and Hameed, 2021; Singh and Pandey, 2019; Zhang et al, 2022; Lu and Zuazua, 2016). Some researchers have worked on this fractal definition such as (Chen, 2006; Chen, 2006; Chen et al, 2010; Hu et al, 2020; Yang, 2021a; Yang, 2021b; Yang, 2022a et al; Yang, 2019; Yang, 2021c; Yang et al, 2022b).…”

Section: Introductionmentioning

confidence: 99%

Controllability and observability for fractal linear dynamical systems

Sadek

2022

Journal of Vibration and Control

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In the present paper, we investigate the controllability, and observability of a non-homogeneous continuous-time fractal dynamical system (NC-TFDS). We show that the controllability is equivalent to a controllability matrix that has a full rank. We also show a relationship between controllability and fractal differential Lyapunov equation (F-DLE). We give some theorems for the observability of a NC-TFDS. Finally, we offer two examples are provided to illustrate the effectiveness of our results and compare it with the two papers Al-Zhour (2022) and ( Sadek et al., 2022 ).

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A guaranteed-comfort and safe adaptive cruise control by considering driver’s acceptance level

Cited by 16 publications

References 28 publications

Adaptive driver following model that integrates perception process and driving behavior

Adaptive driver following model that integrates perception process and driving behavior

A systematic literature review of vehicle speed assistance in intelligent transportation system

Controllability and observability for fractal linear dynamical systems

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