Comparison of Two-Level and Three-Level Graded Collision Warning Systems Under Distracted Driving Conditions

IF 3.6 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Access Pub Date : 2025-03-06 DOI:10.1109/ACCESS.2025.3549290
Khatereh Shariatmadari;Siby Samuel;Shi Cao;Amandeep Singh
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Abstract

Advancements in vehicle technology such as collision warning systems are essential for improving driver alertness and decision-making to enhance road safety. This study evaluates the effectiveness of 2-level and 3-level graded collision warning systems on driver performance under various driving conditions. Forty participants participated in a controlled driving simulator study using a within-between-participant design to examine the impact of these warning systems on response time, collision frequency, physiological responses, and visual attention dynamics. The 3-level system providing graduated alerts through visual, haptic, and auditory cues, showed a significant reduction in response times and collision frequencies compared to the 2-level system. This improvement likely results from the multi-sensory approach that supports cognitive load theory and facilitates hazard detection. Although physiological measures such as Electrodermal Activity and Heart Rate did not show significant differences between the systems, the 3-level system produced more consistent responses suggesting a stable emotional state and reduced stress. Eye-tracking data indicated that the 3-level system improved sustained visual attention and reduced distraction. Subjective evaluations favored auditory warnings emphasizing the importance of user-friendly and intuitive systems. The findings demonstrate the potential of multi-level warning systems to enhance driver safety and performance in high-risk scenarios and suggest the need for customizable systems to accommodate individual differences in cognitive load management. These insights can inform developing advanced collision warning systems that mitigate risks associated with distracted driving and promote a safer driving environment.
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分心驾驶条件下二级与三级分级碰撞预警系统的比较
碰撞预警系统等车辆技术的进步对于提高驾驶员的警觉性和决策能力以加强道路安全至关重要。本研究评估了2级和3级分级碰撞预警系统在不同驾驶条件下对驾驶员性能的影响。40名参与者参加了一项受控驾驶模拟器研究,使用参与者之间设计来检查这些警告系统对反应时间、碰撞频率、生理反应和视觉注意力动力学的影响。与2级系统相比,3级系统通过视觉、触觉和听觉线索提供分级警报,在响应时间和碰撞频率方面显着减少。这种改进可能来自于支持认知负荷理论和促进危险检测的多感官方法。虽然生理测量如皮电活动和心率在系统之间没有显着差异,但3级系统产生了更一致的反应,表明情绪状态稳定,压力减少。眼动追踪数据表明,三级系统提高了持续的视觉注意力,减少了注意力分散。主观评价倾向于听觉警告,强调用户友好和直观系统的重要性。研究结果表明,多层次预警系统在高风险场景下提高驾驶员安全和性能的潜力,并建议需要定制系统来适应认知负荷管理的个体差异。这些见解可以为开发先进的碰撞预警系统提供信息,以减轻与分心驾驶相关的风险,并促进更安全的驾驶环境。
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来源期刊
IEEE Access
IEEE Access COMPUTER SCIENCE, INFORMATION SYSTEMSENGIN-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
9.80
自引率
7.70%
发文量
6673
审稿时长
6 weeks
期刊介绍: IEEE Access® is a multidisciplinary, open access (OA), applications-oriented, all-electronic archival journal that continuously presents the results of original research or development across all of IEEE''s fields of interest. IEEE Access will publish articles that are of high interest to readers, original, technically correct, and clearly presented. Supported by author publication charges (APC), its hallmarks are a rapid peer review and publication process with open access to all readers. Unlike IEEE''s traditional Transactions or Journals, reviews are "binary", in that reviewers will either Accept or Reject an article in the form it is submitted in order to achieve rapid turnaround. Especially encouraged are submissions on: Multidisciplinary topics, or applications-oriented articles and negative results that do not fit within the scope of IEEE''s traditional journals. Practical articles discussing new experiments or measurement techniques, interesting solutions to engineering. Development of new or improved fabrication or manufacturing techniques. Reviews or survey articles of new or evolving fields oriented to assist others in understanding the new area.
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