Effects of connected vehicle (CV) technology on improving driver behavior in the presence of connected and automated vehicle (CAV) platoons

IF 4.4 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-02-01 Epub Date: 2025-02-06 DOI:10.1016/j.trf.2025.01.046
Taniya Sultana, Hany M. Hassan
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Abstract

The combination of automated vehicle technology and vehicle-to-vehicle (V2V) communication leads to the advantage of platoon formation with short inter-vehicular distance. While connected and automated vehicle (CAV) platoons are expected to improve roadway capacity and lower fuel consumption, they might cause some challenges for non-platooning vehicles. This study aims to investigate the hypotheses that providing connected vehicle (CV) warning messages regarding the presence of CAV platoons can improve driver behavior and safety. A driving simulator experiment, featuring four configurations (merging without warning, merging with warning, diverging without warning, and diverging with warning) was designed and tested on 70 drivers. In the ‘no warning’ configurations, drivers encountered CAV platoons without any warning, whereas an audio warning was provided in the ‘warning’ configurations. The findings revealed that providing the warning led to a 17 % increase in merging behind the platoons, whereas more than 90 % of the drivers diverged behind the platoons irrespective of the warning conditions. Six performance measures including mean speed, maximum deceleration, speed standard deviation (SD), acceleration SD, minimum time-to-collision (mTTC), and merging/diverging time were modeled using generalized linear models. The results indicated lower merging and diverging time when provided with warning. Additionally, safety improvement during merging was observed in terms of about 20 % higher mTTC. Safety improvement during diverging was reflected through lower maximum deceleration, speed SD, acceleration SD, and around 5 % higher mTTC. Moreover, female and younger drivers behaved more safely in the ‘warning’ configurations. These results provide insights for planning authorities and auto manufacturers on the usefulness of CV warnings about CAV platoons in improving driver behavior and traffic safety.
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网联车辆(CV)技术对网联和自动车辆(CAV)队列存在下驾驶员行为改善的影响
自动驾驶技术与车对车通信技术的结合,使得车辆间距离短,具有排队形的优势。虽然联网和自动驾驶车辆(CAV)队列有望提高道路容量并降低油耗,但它们可能会给非队列车辆带来一些挑战。本研究旨在探讨在自动驾驶汽车队列存在的情况下,提供联网汽车(CV)警告信息可以改善驾驶员行为和安全性的假设。设计了无预警归并、有预警归并、无预警发散、有预警发散四种配置的驾驶模拟器实验,并对70名驾驶员进行了测试。在“无警告”配置中,驾驶员遇到CAV排时没有任何警告,而在“警告”配置中则提供了音频警告。研究结果显示,提供警告导致车队后面合并的司机增加了17%,而不管警告条件如何,超过90%的司机都偏离了车队后面。六项性能指标包括平均速度、最大减速、速度标准差(SD)、加速度SD、最小碰撞时间(mTTC)和合并/发散时间,采用广义线性模型进行建模。结果表明,在有预警的情况下,合并和发散时间较短。此外,在合并过程中,mTTC提高了约20%,安全性得到了改善。分流过程中安全性的提高体现在最大减速、速度SD、加速SD降低,mTTC提高约5%。此外,女性和年轻司机在“警告”设置下表现得更安全。这些结果为规划当局和汽车制造商提供了关于自动驾驶汽车队列的CV警告在改善驾驶员行为和交通安全方面的有用性的见解。
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来源期刊
CiteScore
7.60
自引率
14.60%
发文量
239
审稿时长
71 days
期刊介绍: Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.
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