Study on the driving style adaptive vehicle longitudinal control strategy

Huang, Jing; Chen, Yi-Min; Peng, Xiaoyan; Hu, Luojia; Cao, Dongpu

doi:10.1109/jas.2020.1003261

Cited by 45 publications

(20 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Conventional ACCs pre-define a set of time gaps from which to select. Certain studies have attempted to involve the personality factor to improve the self-adaptation of ACCs [59,[238][239][240]. In [241], a human-like car-following nonlinear model predictive control controller is developed based on a calibrated human-like Wiedemann model.…”

Section: A Ddt In Advanced Driver Assistance Systemmentioning

confidence: 99%

Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles

Lou

Xing

et al. 2022

IEEE Trans. Intell. Veh.

Self Cite

View full text Add to dashboard Cite

Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving and transportation systems to digitize and synergize connected automated vehicles. However, existing studies focus on the design of the automated vehicle, whereas the digitization of the human driver, who plays an important role in driving, is largely ignored. Furthermore, previous driver-related tasks are limited to specific scenarios and have limited applicability. Thus, a novel concept of a driver digital twin (DDT) is proposed in this study to bridge the gap between existing automated driving systems and fully digitized ones and aid in the development of a complete driving human cyber-physical system (H-CPS). This concept is essential for constructing a harmonious human-centric intelligent driving system that considers the proactivity and sensitivity of the human driver. The primary characteristics of the DDT include multimodal state fusion, personalized modeling, and time variance. Compared with the original DT, the proposed DDT emphasizes on internal personality and capability with respect to the external physiological-level state. This study systematically illustrates the DDT and outlines its key enabling aspects. The related technologies are comprehensively reviewed and discussed with a view to improving them by leveraging the DDT. In addition, the potential applications and unsettled challenges are considered. This study aims to provide fundamental theoretical support to researchers in determining the future scope of the DDT system.

show abstract

Section: A Ddt In Advanced Driver Assistance Systemmentioning

confidence: 99%

Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles

Lou

Xing

et al. 2022

IEEE Trans. Intell. Veh.

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Comfort Of Ivsmentioning

confidence: 99%

“…Research shows that the IVs considering the user's personalized driving style can effectively improve the trust and acceptance of users [69]. According to the driving behavioural such as safe distance, acceleration curve and lane changing speed, drivers' styles can be classified into aggressive type, normal type and cautious type [70]. In order to reduce the tension of users during driving, Lu et al [71] used the on-board sensing information to learn the driver's speed control experience online and proposed a personalized behavioural learning system (PBLS) to improve the comfort performance of traditional motion planning.…”

Section: Security and Trustmentioning

confidence: 99%

A review on key challenges in intelligent vehicles: Safety and driver‐oriented features

Zhou

Zhang

et al. 2021

IET Intelligent Trans Sys

Self Cite

View full text Add to dashboard Cite

The huge advantages of intelligent vehicles (IVs) in improving road safety and operating efficiency have become a research focus in the industry. IVs have made significant progress in recent years, but it is still face great challenges in order to be accepted by users on a large scale. In this regard, the authors propose that the research of IVs can be developed along the lines of safety, comfort and economy, gradually overcoming existing dilemmas. First of all, security is the most basic requirement of IVs. The authors sort out the key technologies and challenges of the basic architecture of IVs, and propose existing attack and defences strategies for IVs information security technology. Secondly, comfort is more about people's subjective feelings. From two aspects of physiological comfort and psychological comfort, the paper studies the anthropomorphic decision-making to overcome the mechanized speed control, human computer interaction design, personalized driving style and ethical decision-making methods. Then, aiming at the micro-and macro-levels of economy, it outlines technologies such as economic driving behavioural, collaborative control of people, vehicles and roads and IVs sharing. Finally, the authors summarized the challenges and future development directions in the three stages of IVs development.

show abstract

“…The temperament type reflects a person’s personality, temperament type reaction feelings and tensions when encountering danger; Research on driving style 11 is basically a classification analysis of the driver’s style. Jiang and Lu 12 and Huang et al 13 showed that the willingness to take risks can reflect the driving style. Qi et al 14 made the conclusion that the violation of rules, speeding and drunk driving attitude and driver style has a significant relationship, affecting driving safety.…”

Section: Introductionmentioning

confidence: 99%

Research on risky driving behavior evaluation model based on CIDAS real data

Bao

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

Self Cite

View full text Add to dashboard Cite

This paper constructs an evaluation system that reflects dangerous driving behavior. The evaluation system has a three-layer structure model of “Evaluation Index-Performance Mode-Driving behavior score.” Verification of the feasibility of the model based on the relationship between the driver and the cause of the accident based on behavioral characteristics. First, the driving return survey data and accident form information of the real traffic accident cases of China In-Depth Accident Study (CIDAS) database are counted, and the character variables are converted into digital variables. Then, a three-tier structure of the dangerous driving behavior evaluation system is built, and the correlation between the driver and the cause of the accident is conducted to verify the feasibility of the model. The research shows that the individual characteristics of drivers with dangerous driving behavior are closely related to the cause of accidents, and the evaluation system constructed in this paper can quantify and describe this relationship effectively.

show abstract

Study on the driving style adaptive vehicle longitudinal control strategy

Cited by 45 publications

References 36 publications

Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles

Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles

A review on key challenges in intelligent vehicles: Safety and driver‐oriented features

Research on risky driving behavior evaluation model based on CIDAS real data

Contact Info

Product

Resources

About