Transportation Research Part F-Traffic Psychology and Behaviour最新文献_第10页

A study on the role of weather, time pressure, and individual factors in pedestrian attention allocation patterns: Evidence from virtual reality eye-tracking experiments☆ 天气、时间压力和个体因素在行人注意力分配模式中的作用研究：来自虚拟现实眼动追踪实验的证据

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-15 DOI: 10.1016/j.trf.2025.103436

Sajjad Mazloum , Navid Khademi , Zuduo Zheng

Background

Understanding pedestrian attention allocation is critical for enhancing safety at intersections and informing the design of safer pedestrian crossings.

Objectives

We investigate the effects of various factors (individual, environmental, and situational) on pedestrian attention allocation, specifically focusing on two indicators: ‘immediate surrounding attention allocation’ (ISAA), which emphasizes efficient navigation, and ‘safety attention allocation’ (SAA), which highlights adherence to safety measures. Additionally, the study evaluated the effectiveness of the pedestrian behavior questionnaire (PBQ) in assessing how pedestrians allocate their attention.

Methods

The study recruited 198 participants from various demographic groups. A virtual reality (VR) walking simulator with varying weather conditions was used, and eye-tracking recorded visual attention. Participants completed simulated street crossings under different conditions. Data were analyzed using statistical tests and structural equation modeling (SEM) to assess factors influencing pedestrian attention.

Findings

The results indicated that adverse weather conditions and time pressure significantly impaired pedestrian attention before and during street crossings. Specifically, hot weather led to increased ISAA. In contrast, rainy and cold conditions negatively affected SAA. Additionally, males exhibited greater attention to traffic settings compared to females, and prior crash experience enhanced cautious pedestrian behavior. The PBQ effectively predicted pedestrian SAA and accounted for the impact of individual characteristics on alertness to safety hazards before crossing the street. As expected, PBQ has fallen short of addressing participants’ ISAA before crossing and individuals’ attention allocation while crossing the street. The findings suggest actionable strategies for improving pedestrian attention and safety through targeted interventions.

了解行人的注意力分配对于提高十字路口的安全性和设计更安全的人行横道至关重要。我们研究了各种因素（个人、环境和情境）对行人注意力分配的影响，特别关注两个指标：“即时周围注意力分配”（ISAA），强调有效的导航，以及“安全注意力分配”（SAA），强调遵守安全措施。此外，本研究还评估了行人行为问卷（PBQ）在评估行人如何分配注意力方面的有效性。方法本研究从不同人群中招募了198名参与者。在不同天气条件下使用虚拟现实（VR）行走模拟器，眼球追踪记录视觉注意力。参与者在不同条件下完成模拟过马路。采用统计检验和结构方程模型（SEM）对影响行人注意力的因素进行分析。研究结果表明，恶劣的天气条件和时间压力显著影响行人在过马路前和过马路时的注意力。具体来说，炎热天气导致ISAA增加。相比之下，多雨和寒冷条件对SAA有不利影响。此外，与女性相比，男性对交通环境表现出更大的关注，之前的碰撞经历增强了谨慎的行人行为。PBQ能有效预测行人的SAA，并解释了个体特征对过马路前安全危险警觉性的影响。正如预期的那样，PBQ在解决参与者过马路前的ISAA和个人过马路时的注意力分配方面存在不足。研究结果为通过有针对性的干预措施提高行人的注意力和安全性提供了可行的策略。

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引用次数: 0

Imperfect advanced driver assistance systems in the eyes of imperfect users 在不完美的用户眼中，不完美的高级驾驶辅助系统

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-15 DOI: 10.1016/j.trf.2025.103447

Yueying Chu , Wenting Tang , Shanguang Chen , Peng Liu

Advanced Driver Assistance Systems (ADAS; Level 2 vehicle automation) are increasingly common in vehicles. Although these systems are designed to enhance driving comfort and safety, their capabilities and limitations are often misjudged, potentially creating new traffic risks. While drivers’ misunderstanding and overreliance on ADAS have been implicated in several high-profile accidents, insufficient empirical research has examined how such misconceptions relate to unsafe driving behaviors. In a pre-registered survey of 130 Tesla Autopilot users in China, we measured users’ underestimation and overestimation of Autopilot’s capabilities and their operational knowledge regarding the use of Autopilot’s key functions. Participants were more likely to overestimate than underestimate Autopilot’s capabilities, with mean accuracies of about 40 % and 70 %, respectively. Neither misconception was associated with self-reported engagement in non-driving-related activities (e.g., eating and sleeping) while using ADAS. Participants did not show sufficient operational knowledge, with mean accuracy below 75 %. Operational knowledge was positively correlated with intentions to engage in common non-driving-related activities such as eating (r = 0.25, p = 0.004), but not with intentions to sleep (r = − 0.10, p = 0.235). In addition, their propensity to trust machines (a trait-like tendency) was positively correlated with intentions to engage in both common non-driving-related activities (r = 0.28, p = 0.002) and sleeping (r = 0.30, p < 0.001). We discuss the theoretical and practical implications of these findings, particularly in relation to driver education and training that foster appropriate understanding and use of ADAS.

高级驾驶辅助系统（ADAS, Level 2 vehicle automation）在汽车中越来越普遍。尽管这些系统旨在提高驾驶舒适性和安全性，但它们的能力和局限性往往被误判，可能会带来新的交通风险。虽然驾驶员对ADAS系统的误解和过度依赖与几起引人注目的事故有关，但没有足够的实证研究来检验这种误解与不安全驾驶行为之间的关系。在对中国130名特斯拉自动驾驶仪用户的预注册调查中，我们测量了用户对自动驾驶仪功能的低估和高估，以及他们对自动驾驶仪关键功能使用的操作知识。参与者更有可能高估而不是低估Autopilot的能力，平均准确率分别约为40%和70%。这两种误解都与使用ADAS时自我报告的非驾驶相关活动（如吃饭和睡觉）有关。参与者没有表现出足够的操作知识，平均准确率低于75%。操作知识与参与常见非驾驶相关活动（如进食）的意愿呈正相关（r = 0.25, p = 0.004），但与睡眠意愿无关（r = - 0.10, p = 0.235）。此外，他们信任机器的倾向（一种类似特质的倾向）与参与与驾驶无关的常见活动（r = 0.28, p = 0.002）和睡眠（r = 0.30, p < 0.001）的意愿呈正相关。我们讨论了这些发现的理论和实践意义，特别是与驾驶员教育和培训有关，以促进对ADAS的适当理解和使用。

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引用次数: 0

Postural and physiological indicators of drowsiness at the wheel compared in partially and conditionally autonomous on-road driving 部分自主驾驶和条件自主驾驶时的睡意姿势和生理指标比较

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-15 DOI: 10.1016/j.trf.2025.103444

Gaëtan Perrotte , Jean-Louis Vercher , Clément Bougard

With increasing numbers of partially and conditionally autonomous vehicles (i.e., levels L2 to L3) on the roads, altered driver states such as inattention or drowsiness at the wheel may be exacerbated. This new way of driving will, however, make the indicators traditionally used to detect altered states less relevant. New detection methods using other indicators, such as physiological and postural indicators, could be a solution. In this study, 21 participants drove on motorways in a dual control vehicle at two levels of automation (L2+ and L3). Seat pressure and physiological (i.e., cardiac and respiratory) indicators were continuously recorded and state of drowsiness was classified according to PERCLOS70. In defined states of drowsiness, different physiological and postural characteristics were identified. Results show that postural indicators are more sensitive to level of automation than physiological indicators, suggesting that posture may reflect behavior associated with a particular level of autonomous driving. This suggestion is supported by subjective feelings elicited from the drivers. The multiple postures observed to be associated with deep drowsiness (or falling asleep) point to inter-individual postural variability. Postural information could therefore reflect both active behavior and drowsiness, whereas physiological information appears only to reflect drowsiness. This study demonstrates the value of using such measurements jointly to detect drowsiness at the wheel.

随着道路上部分自动驾驶和有条件自动驾驶汽车（即L2至L3级）数量的增加，驾驶状态的改变（如驾驶时注意力不集中或困倦）可能会加剧。然而，这种新的驾驶方式将使传统上用于检测状态变化的指标变得不那么重要。使用其他指标的新检测方法，如生理和姿势指标，可能是一种解决方案。在这项研究中，21名参与者驾驶双控车辆在高速公路上驾驶两种自动化水平（L2+和L3）。连续记录座椅压力和生理（即心脏和呼吸）指标，并根据PERCLOS70对困倦状态进行分类。在定义的困倦状态中，确定了不同的生理和姿势特征。结果表明，姿势指标比生理指标对自动化水平更敏感，这表明姿势可能反映了与特定水平的自动驾驶相关的行为。这一建议得到了来自司机的主观感受的支持。观察到的与深度嗜睡（或入睡）相关的多种姿势表明个体之间的姿势可变性。因此，姿势信息可以同时反映活跃行为和困倦，而生理信息似乎只反映困倦。这项研究证明了联合使用这些测量方法来检测开车时困倦的价值。

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引用次数: 0

Exploring key factors influencing urban air transport Acceptance: A trust and Risk-Embedded UTAUT2 framework 探索影响城市航空运输接受度的关键因素：信任和风险嵌入UTAUT2框架

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-15 DOI: 10.1016/j.trf.2025.103448

Xiao-Feng Sun

Urban Air Transportation (UAT) provides a promising remedy for urban congestion, improving travel efficiency and mitigating environmental effects. This research expands the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) by integrating trust (TR) and perceived risk (PR) to identify both facilitating and obstructive elements in UAT acceptance. Survey data from 184 respondents were analyzed using structural equation modeling. The results indicate that performance expectancy (PE) is the most significant positive predictor of usage intention (UI), succeeded by effort expectancy (EE), social influence (SI), and price value (PV). Conversely, hedonic motivation (HM) is non-significant, highlighting the utilitarian essence of UAT. PR significantly diminishes UI both directly and indirectly by undermining TR, which partially mediates the PR–UI relationship. Some useful tips are to put functional design first, spend money on safety certifications and privacy protections, use social influence, and improve pricing strategies. Policy implications underscore the necessity of standardizing safety and privacy metrics while promoting international collaboration to cultivate social consensus. This research enhances transportation psychology by substantiating the mediating function of trust in the PR–UI relationship and providing a comprehensive framework that considers both facilitators and barriers to adoption.

城市航空运输（UAT）为缓解城市拥堵、提高出行效率和减轻环境影响提供了一种有希望的方法。本研究通过整合信任（TR）和感知风险（PR），扩展了技术接受与使用统一理论（UTAUT2），以确定技术接受的促进因素和阻碍因素。184名受访者的调查数据采用结构方程模型进行分析。结果表明，绩效期望（PE）是使用意向（UI）的最显著正向预测因子，其次是努力期望（EE）、社会影响（SI）和价格价值（PV）。相反，享乐动机（HM）不显著，凸显了UAT的功利性本质。PR通过破坏TR直接或间接地显著降低UI，而TR在一定程度上介导了PR - UI关系。一些有用的建议是把功能设计放在第一位，在安全认证和隐私保护上花钱，利用社会影响力，改进定价策略。政策影响强调了在促进国际合作以培养社会共识的同时标准化安全和隐私指标的必要性。本研究通过证实信任在PR-UI关系中的中介作用，并提供一个综合的框架来考虑采用的促进因素和障碍，从而增强了运输心理。

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引用次数: 0

A systematic PRISMA review of traffic crashes, risk factors, determinants of risk behaviors, and interventions among motorcycle taxi riders 一个系统的PRISMA审查交通事故，危险因素，危险行为的决定因素，并在摩托车出租车乘客的干预措施

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-14 DOI: 10.1016/j.trf.2025.103438

Katondo Salvatory Nambiza , An Neven , Regina Valerian Peter , Wilfred Gordian Kazaura , Kris Brijs

Motorcycle taxi riders (MTRs) are a disproportionately high-risk occupational group for road traffic crashes (RTCs) and injuries (RTIs), raising significant public health, social, and economic concerns in low- and middle-income countries (LMICs). This review is the first PRISMA-compliant synthesis focused exclusively on MTRs, distinguishing them from commuters or delivery riders. It synthesizes evidence on reported crashes, risk factors, behavioral determinants of risky riding, and safety interventions. A PRISMA-compliant search across four databases yielded 651 articles, of which 56 met the inclusion criteria. Reported crash rates varied between 25.8 % and 78.6 %, with common injuries including fractures, head trauma, and soft-tissue damage. The main risk factors were speeding, alcohol and substance use, mobile phone distractions, and non-use of helmets, often exacerbated by demographic pressures such as youth, low income, and limited education. While most included studies were conducted in Africa, research from South Asia (Pakistan, India, Bangladesh, Vietnam) highlights risky motorcycling. However, it rarely isolates MTRs, underscoring a persistent geographic and occupational gap. Effective interventions included a Nigerian health education program that raised safety awareness from 21 % to 82 % and Uganda’s SafeBoda initiative, which reduced crashes by 39 %. The evidence underscores the urgent need for tailored interventions that combine rider education, behavior change strategies, protective gear, enforcement, and policies addressing income insecurity and informality. These efforts are crucial not only for reducing morbidity and mortality but also for limiting wider socioeconomic costs in LMICs.

摩托车出租车司机是道路交通碰撞和伤害的高危职业群体，在低收入和中等收入国家引起了重大的公共卫生、社会和经济问题。这篇综述是第一个符合prisma标准的综合研究，专门针对mtr，将它们与通勤者或送货乘客区分开来。它综合了报告的碰撞、风险因素、危险骑行的行为决定因素和安全干预措施的证据。在四个数据库中进行符合prisma标准的搜索，得到651篇文章，其中56篇符合纳入标准。报道的碰撞率在25.8%到78.6%之间，常见的损伤包括骨折、头部创伤和软组织损伤。主要风险因素是超速、酒精和药物使用、移动电话干扰和不使用头盔，这些因素往往因青年、低收入和受教育程度有限等人口压力而加剧。虽然大多数纳入的研究是在非洲进行的，但来自南亚（巴基斯坦、印度、孟加拉国、越南）的研究强调了骑摩托车的危险性。然而，它很少孤立中毒者，强调了持续存在的地理和职业差距。有效的干预措施包括尼日利亚的健康教育计划，该计划将安全意识从21%提高到82%，乌干达的SafeBoda倡议将车祸减少了39%。证据强调，迫切需要有针对性的干预措施，将骑手教育、行为改变战略、防护装备、执法以及解决收入不安全和不规范问题的政策结合起来。这些努力不仅对降低发病率和死亡率至关重要，而且对限制中低收入国家更广泛的社会经济成本也至关重要。

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引用次数: 0

Assessing the effectiveness of Augmented Reality warnings for improving safety at highway merging zones in a connected environment 评估增强现实预警在互联环境中提高高速公路合并区的安全性的有效性

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-14 DOI: 10.1016/j.trf.2025.103440

Alessandro Calvi, Andrea Vennarucci

The merging process of vehicles moving from the on-ramp to the right lane of a highway is quite critical at interchanges for both safety and operational efficiency. Several studies have emphasized the importance of merging zones at interchanges, identifying them as major sites of conflicts between passing and entering vehicles. Incorrect assessment of gaps and precedence in these zones can result in serious collisions and traffic disruptions at interchanges. This study looks at how effective Augmented Reality (AR) solutions in a connected environment are in improving safety at merging zones, helping drivers keep a safe distance from vehicles entering the highway from on-ramps. In a driving simulation study, four different safety measures are evaluated: i) a vehicle-to-vehicle spacing measurement support, which integrates a Variable Message Signs panel (VMS) with a new type of road pavement marking; ii) a Head-Up Display (HUD) that projects a static symbol onto the vehicle windshield, advising the driver to maintain a safe distance from the entering vehicle; iii) a connected vehicle system that integrates AR technology consisting of a dynamic symbol on the road surface, which provides the driver with additional visual cues about the actual longitudinal distance from the entering vehicle; iv) the same AR-based system with an additional audible warning. The driving behavior of forty-four participants in four different configurations with the safety measures was compared with their behavior in a configuration without any measures (baseline condition). The results demonstrated a significant positive impact from all tested measures, with the most effective solution being AR systems, which demonstrated the ability to assist drivers in adjusting their distance from the entering vehicles. This study confirms the high potentialities of AR technologies and connected vehicles in enhancing the overall safety of road networks, particularly in high-risk scenarios and challenging maneuvers.

在高速公路的立交中，车辆从匝道进入右车道的合并过程对安全性和运行效率都至关重要。有几项研究强调了在立交处合并区域的重要性，认为它们是进出车辆发生冲突的主要场所。对这些区域的间隙和优先级的错误评估可能导致严重的碰撞和交汇处的交通中断。这项研究着眼于增强现实（AR）解决方案在互联环境中如何有效地提高合并区的安全性，帮助驾驶员与从匝道进入高速公路的车辆保持安全距离。在驾驶模拟研究中，评估了四种不同的安全措施：i)将可变信息标志面板（VMS）与新型道路路面标记集成在一起的车对车间距测量支持；ii)在车辆挡风玻璃上投射静态符号的平视显示器（HUD），建议驾驶员与驶入的车辆保持安全距离；iii)集成AR技术的联网车辆系统，该系统由路面上的动态符号组成，为驾驶员提供有关与驶入车辆实际纵向距离的额外视觉提示；iv)同样的基于ar的系统，附带一个额外的声音警告。对44名被试在4种不同安全措施配置下的驾驶行为与无安全措施配置（基线条件）下的驾驶行为进行比较。结果表明，所有测试措施都产生了显著的积极影响，其中最有效的解决方案是AR系统，它能够帮助驾驶员调整与驶入车辆的距离。这项研究证实了AR技术和联网车辆在提高道路网络整体安全性方面的巨大潜力，特别是在高风险场景和具有挑战性的操作中。

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引用次数: 0

Mitigating aggression toward AVs in mixed traffic: Effects of automated driving styles and human driving styles 缓解混合交通中对自动驾驶汽车的攻击：自动驾驶风格和人类驾驶风格的影响

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-13 DOI: 10.1016/j.trf.2025.103431

Haitao Chen, Yiqi Zhang

As automated vehicles (AVs) technology advances, the deployment of AVs creates a mixed traffic environment in which human-driven vehicles (HVs) and AVs interact and coexist on the roads. This study investigated the effects of AVs’ automated driving styles on HV drivers’ decision-making, driving performance, and subjective evaluation while considering the manual driving styles of HV drivers. Thirty-six drivers participated in a driving simulator experiment, interacting with aggressive and defensive AVs in two separate blocks and experiencing four driving scenarios in each block. The results indicated that drivers with more aggressive driving styles tend to make less aggressive decisions when interacting with aggressive AVs compared to defensive AVs. In contrast, the decision-making of drivers with more defensive driving styles was not significantly influenced by AVs’ driving styles with which they interacted in mixed traffic. Regarding driving performance, all drivers demonstrated less aggressive behaviors when interacting with aggressive AVs than with defensive AVs, as reflected in longer time-to-collision (TTC). Additionally, human drivers reported lower trust and perceived higher risk when interacting with defensive AVs compared to aggressive AVs, with this effect varying based on their driving styles. These insights are crucial in informing the development of AV algorithms and establishing robust traffic regulations to enhance safe interactions between human drivers and AVs in mixed-traffic environments.

随着自动驾驶汽车（AVs）技术的进步，自动驾驶汽车的部署创造了一个混合交通环境，在这个环境中，人类驾驶的车辆（HVs）和自动驾驶汽车在道路上相互作用并共存。本研究在考虑HV驾驶员手动驾驶风格的情况下，考察自动驾驶汽车自动驾驶风格对HV驾驶员决策、驾驶绩效和主观评价的影响。36名驾驶员参加了驾驶模拟器实验，在两个独立的街区与攻击性和防御性自动驾驶汽车互动，并在每个街区体验四种驾驶场景。结果表明，与防御性自动驾驶汽车相比，攻击性驾驶风格越强的驾驶员在与攻击性自动驾驶汽车互动时，做出的攻击性决策越少。而在混合交通中，防御性驾驶风格较强的驾驶员的决策不受与自动驾驶汽车互动的驾驶风格的显著影响。在驾驶表现方面，所有驾驶员在与进攻型自动驾驶汽车互动时的攻击性行为都低于与防御型自动驾驶汽车互动时的攻击性行为，这体现在较长的碰撞时间（TTC）上。此外，与攻击性自动驾驶汽车相比，人类司机在与防御性自动驾驶汽车互动时，信任度较低，感知到的风险更高，这种影响因驾驶风格而异。这些见解对于自动驾驶算法的开发和建立健全的交通法规至关重要，以加强混合交通环境中人类驾驶员和自动驾驶汽车之间的安全互动。

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引用次数: 0

Key factors shaping public acceptance of autonomous vehicles in China: A mixed-methods study using social media and survey data 影响中国公众接受自动驾驶汽车的关键因素：一项使用社交媒体和调查数据的混合方法研究

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-13 DOI: 10.1016/j.trf.2025.103409

Dongdong Feng, Sylvia Y. He

Autonomous vehicles (AVs) may bring substantial benefits to society and daily life; however, their psychological acceptance is unlikely to be straightforward. While prior studies have examined factors influencing AV acceptance, few have investigated the psychological acceptance process by linking public perceptions with statistical verification of acceptance mechanisms through a mixed-method approach. This study integrates content analysis and structural equation modelling, drawing on comments from TikTok (Douyin, the Chinese version of the platform) and an online survey (N = 693) in Shenzhen, China, to explore public perceptions and their effects on AV acceptance. Content analysis first identified key public concerns—such as trust in AV performance and task–technology fit—before informing a theoretical model of AV acceptance. The results show that trust in AV performance significantly enhances public attitudes toward AVs and behavioral intentions to use them, whereas trust in AV institutions does not. They also reveal growing public concern about how AVs can support concrete goals and needs, with task–technology fit mediating the influence of trust in AV performance on acceptance. In addition, technology adoption propensity emerged as a significant predictor shaping both trust and task–technology fit. This study contributes to the theoretical understanding of AV acceptance mechanisms and provides practical insights for the future widespread deployment of AVs.

自动驾驶汽车（AVs）可能会给社会和日常生活带来实质性的好处；然而，他们的心理接受程度不太可能是直截了当的。虽然先前的研究考察了影响AV接受度的因素，但很少有人通过混合方法将公众认知与接受机制的统计验证联系起来，研究心理接受过程。本研究结合了内容分析和结构方程模型，借鉴了TikTok（抖音，该平台的中文版）的评论和中国深圳的一项在线调查（N = 693），以探索公众的看法及其对AV接受度的影响。内容分析首先确定了公众关注的关键问题，如对自动驾驶汽车性能的信任和任务技术契合度，然后才建立了自动驾驶汽车接受度的理论模型。结果表明，对自动驾驶汽车性能的信任显著提高了公众对自动驾驶汽车的态度和使用自动驾驶汽车的行为意愿，而对自动驾驶汽车机构的信任则没有显著影响。它们还揭示了公众对自动驾驶如何支持具体目标和需求的日益关注，任务-技术契合度调节了对自动驾驶性能的信任对接受度的影响。此外，技术采用倾向成为塑造信任和任务-技术契合度的重要预测因子。该研究有助于从理论上理解自动驾驶汽车的接受机制，并为未来自动驾驶汽车的广泛部署提供实践见解。

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引用次数: 0

Behavioural modelling of the effects of countdown timers on rear-end collisions in the signal transition phase 信号转换阶段倒计时计时器对追尾碰撞影响的行为建模

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-13 DOI: 10.1016/j.trf.2025.103424

Bijul Raveendran, Tom V. Mathew, Nagendra R. Velaga

Countdown timers at traffic signals display the remaining time for a phase to end and, in turn, influence driver anticipation, decision-making, and crossing behaviour. They are used in many countries, often without proper guidelines. From a traffic psychology perspective, countdown timers can induce anticipation of signal change and reduce indecision during the signal transition phase, when the signal changes from green to yellow and then to red. From a driver behaviour perspective, they can promote earlier braking, lower deceleration rates, and smoother manoeuvres, which may affect the probability of rear-end collisions. However, the literature reports inconclusive findings on how countdown timers influence such collisions, and few studies have modelled this probability directly. This study analyses and models the impact of countdown timers on rear-end collisions during the signal transition phase. A surrogate safety measure of modified time to collision was used to identify potential rear-end conflicts. The temporal and spatial distribution of these conflicts was examined, and their occurrence was modelled statistically using vehicle trajectory data from urban intersections. Results show that countdown timers caused temporal and spatial variations in conflict distribution and were associated with a reduced probability of rear-end collisions, indicating safety benefits linked to driver behavioural changes.

交通信号灯上的倒计时计时器显示一个阶段结束的剩余时间，进而影响司机的预期、决策和过马路行为。它们在许多国家使用，通常没有适当的指导方针。从交通心理学的角度来看，倒计时计时器可以诱导对信号变化的预期，减少信号转换阶段的犹豫不决，即信号从绿色变为黄色，然后变为红色。从驾驶员行为的角度来看，它们可以促进更早的制动、更低的减速率和更平稳的操作，这可能会影响追尾碰撞的概率。然而，文献报道了关于倒计时计时器如何影响这种碰撞的不确定发现，很少有研究直接模拟了这种可能性。本研究分析并建立了信号转换阶段倒计时计时器对追尾碰撞的影响模型。采用修正碰撞时间的替代安全度量来识别潜在的追尾冲突。研究了这些冲突的时空分布，并利用城市十字路口的车辆轨迹数据对冲突的发生进行了统计建模。结果表明，倒计时计时器导致了冲突分布的时空变化，并与追尾碰撞的概率降低有关，这表明安全效益与驾驶员行为改变有关。

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引用次数: 0

Reaction times of micromobility users 微移动用户的反应时间

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour

Pub Date : 2025-11-12 DOI: 10.1016/j.trf.2025.103441

Chang Chen , Zoi Christoforou , Nadir Farhi

As global environmental issues continue to escalate and traffic congestion becomes more intense, the demand for sustainable and flexible transportation solutions, such as micromobility, is growing. This paper explores the reaction time of micromobility users through a semi-controlled real-track experiment, involving e-scooter and e-bike riders (N = 96). Reaction time is a crucial variable influencing vehicle dynamics, infrastructure design, traffic modeling and, most importantly, riders’ safety. However, existing research exclusively focuses on motor vehicle drivers’ reaction times. The present paper fills this important gap by providing, for the first time, measurements of micromobility users’ reaction times along with their correlation to user, traffic, and vehicle characteristics through econometric modeling. Results show that micromobility users have longer average reaction times compared to car drivers and show greater variability, i.e. 1.55 s ± 0.97 s. E-scooter riders seem to have longer reaction times than e-bike riders. Evidence further suggests that higher speed, female gender, and frequent braking are associated with longer reaction times. On the contrary, fatigue and risk-taking behavioral patterns were not found to have a significant impact on reaction times.

随着全球环境问题的不断升级和交通拥堵的加剧，对可持续和灵活的交通解决方案（如微型交通）的需求正在增长。本文通过电动滑板车和电动自行车的半受控实迹实验（N = 96），探讨了微动出行用户的反应时间。反应时间是影响车辆动力学、基础设施设计、交通建模以及最重要的是乘客安全的关键变量。然而，现有的研究只集中在机动车驾驶员的反应时间上。本论文填补了这一重要空白，首次通过计量经济模型提供了微移动用户的反应时间的测量，以及它们与用户、交通和车辆特征的相关性。结果表明，与汽车司机相比，微移动出行用户的平均反应时间更长，并且表现出更大的变动性，即1.55 s ± 0.97 s。骑电动滑板车的人似乎比骑电动自行车的人反应时间更长。证据进一步表明，车速越快、女性和频繁刹车与反应时间越长有关。相反，研究发现疲劳和冒险行为模式对反应时间没有显著影响。

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引用次数: 0