工作区内车对车通信对变道安全的影响评估

IF 5.3 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Mariam Nour;Mohamed H. Zaki;Mohamed Abdel-Aty
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引用次数: 0

摘要

联网和自动驾驶汽车(CAV)技术有可能提高工作区域的变道安全性,特别是在车道关闭期间。然而,在实际操作条件下,车辆对车辆(V2V)通信的安全影响仍然没有得到充分的了解。本研究使用整合交通和通信网络的校准联合模拟框架,调查了V2V通信对工作区场景下变道安全的影响。该框架模拟了一系列现实条件,包括不同的市场渗透率(mpr)、通信范围和合并策略(早期和晚期),并使用碰撞时间(TTC)指标评估变道安全性。采用数据传播算法来协调V2V消息传递,并使自动驾驶汽车能够启动安全车道更改。与之前假设理想通信条件的研究不同,这项工作通过结合丢包和包传送率等指标来模拟现实的V2V通信,以检查它们对变道安全的影响。研究结果表明,更高的mpr和更大的通信范围通常会提高安全性;然而,通信质量的限制会大大降低这些好处——特别是在后期合并场景中,降级的数据交换降低了安全性。敏感性分析进一步表明,变道时机和通信范围是影响安全结果的关键因素,强调在设计和评估基于cav的安全干预措施时需要考虑通信可靠性。
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 Impact of Vehicle-to-Vehicle Communication on Lane Change Safety in Work Zones
Connected and automated vehicle (CAV) technology has the potential to enhance lane change safety in work zones, especially during lane closures. However, the safety implications of vehicle-to-vehicle (V2V) communication under realistic operating conditions remain insufficiently understood. This study investigates the impact of V2V communication on lane change safety in work zone scenarios using a calibrated co-simulation framework that integrates both traffic and communication networks. The framework simulates a range of realistic conditions—including varying market penetration rates (MPRs), communication ranges, and merge strategies (early and late)—and evaluates lane change safety using the time-to-collision (TTC) metric. A data dissemination algorithm is incorporated to coordinate V2V messaging and enable CAVs to initiate safe lane changes. Unlike prior studies that assume ideal communication conditions, this work simulates realistic V2V communication by incorporating metrics such as packet loss and packet delivery ratio to examine their impact on lane change safety. Findings indicate that higher MPRs and extended communication ranges generally enhance safety; however, limitations in communication quality can significantly reduce these benefits—particularly in late merge scenarios, where degraded data exchange decreases safety. Sensitivity analyses further reveal that lane-change timing and communication range are critical factors influencing safety outcomes, emphasizing the need to account for communication reliability when designing and evaluating CAV-based safety interventions.
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CiteScore
5.40
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