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Subjective assessment for an advanced driver assistance system:a case study in China

Journal of Intelligent and Connected Vehicles 2022年第2期5卷 112-122页

作者： Di Ao Jialin Li Department of Electromechanical Engineering Faculty of Science and TechnologyUniversity of MacaoMacao SARChina Department of Vehicle Engineering School of Automotive and Transportation EngineeringHefei University of TechnologyHefeiChina

Purpose–This study aims to propose a novel subjective assessment(SA)method for level 2 or level 21 advanced driver assistance system(ADAS)with a customized case study in ***/methodology/approach–The proposed SA method contains six dimensions,including perception,driveability and stability,riding comfort,human–machine interaction,driver workload and trustworthiness and exceptional operating case,*** each dimension subordinates several subsections,which describe the corresponding details under this ***–Based on the proposed SA,a case study in China is *** drivers with different driving experiences are invited to give their subjective ratings for each subsection according to a predefined rating *** rating results show that the ADAS from Tesla outperforms the upcoming electric vehicle in most ***/value–The proposed SA method is beneficial for the original equipment manufacturers developing related technologies in the future.

关键词： Level 2 or 21 advanced driver assistance system Subjective assessment method Six dimensions Case study

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Vehicles, advanced Features, driver Behavior, and Safety: A systematic Review of the Literature

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Journal of Transportation Technologies 2022年第3期12卷 420-438页

作者： Raghuveer Prasad Gouribhatla Srinivas Subrahmanyam Pulugurtha IDEAS Center Civil & Environmental Engineering Department The University of North Carolina at Charlotte Charlotte USA

driver errors contribute to more than 94% of traffic crashes. Automotive companies are striving to enhance their vehicles to eliminate driver errors and reduce the number of crashes. Various advanced features like lane departure warning (LDW), blind spot warning (BSW), over speed warning (OSW), forward collision warning (FCW), lane keep assist (LKA), adaptive cruise control (ACC), cooperative ACC (CACC), and automated emergency braking (AEB) are designed to assist with, or in some cases take over, certain driving maneuvers. They can be broadly categorized into advanced driver assistance system (ADAS) and automated features. Each of these advanced features focuses on addressing a particular task of driving, thereby, aiding the driver, influencing their behavior, and enhancing safety. Many vehicles with these advanced features are penetrating into the market, yet the total reported number of crashes has increased in recent years. This paper presents a systematic review of these advanced features on driver behavior and safety. The review is categorized into 1) survey and mathematical methods to assess driver behavior, 2) field test methods to assess driver behavior, 3) microsimulation methods to assess driver behavior, 4) driving simulator methods to assess driver behavior, and 5) driver understanding and the effectiveness of advanced features. It is followed by conclusions, knowledge gaps, and need for further research.

关键词： Vehicle advanced driver assistance system Automated driver Behavior Safety

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