基于C-ITS环境下车辆交互分析的车载预警信息安全效益评估

Jieun Ko
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引用次数: 1

摘要

协同智能交通系统(C-ITS)共享有用的实时交通信息,包括即将到来的危险,以支持车对车(V2V)和车对基础设施(V2I)无线通信。C-ITS环境中提供的安全应用程序使驾驶员能够快速响应意外危险情况并防止事故发生。本研究旨在定量评价C-ITS在提供车载预警信息时的安全效益。本研究的一个新特点是使用了一种多智能体驾驶仿真方法,能够从碰撞风险的角度分析主体车辆与前车之间的车辆相互作用。采用碰撞潜力指数(CPI)来评估追尾风险,并在分析中进一步考虑C-ITS驾驶员的不同合规水平。当受试者车辆收到警告信息时,定义为“有”场景,当受试者车辆未收到警告信息时,定义为“没有”场景。此外,为了从符合率角度分析提供警示信息对交通安全的影响,本研究定义在警示信息显示后车速和CPI下降的情况下,驾驶员遵守给定的警示信息。并比较受试者依从率对事故发生概率的影响。结果表明:“有”情景下的行驶速度和CPI均低于“无”情景,预警信息提供可实现55.81%的CPI降低。根据对合规率的CPI有效性分析,平均CPI随着合规率的增加而降低。在C-ITS环境下,当所有驾驶员都遵守警告信息时,与不遵守警告信息时相比,碰撞可能性降低了67.86%。本研究的结果有望作为制定有效政策的基础,以充分利用C-ITS应用的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the Safety Benefits of In-Vehicle Warning Information by Vehicle Interaction Analysis in C-ITS Environments
The cooperative-intelligent transport systems (C-ITS) shares useful real-time traffic information including upcoming hazards in support of vehicle-to-vehicle (V2V) and vehicle-toinfrastructure (V2I) wireless communications. The safety applications provided in the C-ITS environment allow the driver to respond quickly to unexpected hazardous situations and to prevent accidents. This study aims to quantitatively evaluate the safety benefits of C-ITS when the in-vehicle warning information is provided. A novel feature of this study is to use a multi-agent driving simulation method capable of analyzing vehicle interactions between a subject vehicle and a preceding vehicle in terms of crash risks. The crash potential index (CPI) is adopted to evaluate rear-end crash risks, and various compliance levels of C-ITS drivers are further taken into consideration in the analysis. In case the subject vehicle received the warning information was defined as the “With” scenario, and the case that the subject vehicle did not receive the warning information was defined as the “Without” scenario. In addition, to analyze the impact of providing alert information on traffic safety from compliance rates, it is defined in this study that drivers comply with given warning information in the case where the speed and CPI decrease after the warning message is displayed. And the changes in the probability of accidents caused by the subject’s compliance rate were compared. Results showed that the driving speeds and CPIs of the “With” scenarios were lower compared to the “Without” scenario, and 55.81% of CPI reduction was achievable due to the warning information provision. According to the CPI effectiveness analysis on the compliance rate, the average CPI decreased as the compliance rate increased. When all the drivers complied with the warning information in the C-ITS environment, the crash potential was reduced by 67.86% compared to the case that all drivers did not comply with the warning information. The outcomes of this study are expected to be useful as a fundamental for developing effective policies to fully exploit the benefits of C-ITS applications.
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