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ADVANCING SAFETY PERFORMANCE MONITORING AT SIGNALIZED INTERSECTIONS USING CONNECTED VEHICLE TECHNOLOGY

机译:利用互联车辆技术在信号交叉口进行安全性能监控

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Crash-based safety evaluation is often hampered by randomness, lack of timeliness, and rarity of crash occurrences. This is particularly the case for technology-driven safety improvement projects that are frequently updated or replaced by newer ones before it is possible to gather adequate crash data for a reliable and defensible before-after evaluation. Surrogate safety data are commonly used as an alternative to crash data; however, its current practice is still resource intensive and prone to human errors. The advent of connected vehicle technology allows vehicles to communicate with each other as well as infrastructure wirelessly. Through this platform, vehicle movements and signal status at the facilities can be automatically and continually monitored in real time. This study explores the viability of long-term monitoring of connected vehicle data for safety performance evaluation. This paper proposes a safety monitoring application that utilizes connected vehicle data to detect potential safety indicators at signalized intersections. As limited saturation of on-board equipment (OBEs) is expected in the near-term evolution, the development focuses on a roadside equipment (RSE) application that can process data elements from OBEs via vehicle-to-infrastructure (V2I) communications using standard message sets. A microscopic simulation was designed to evaluate the effectiveness of the proposed safety indicators in detecting degrading safety performance. A signalized intersection test bed was created in VISSIM while the wireless communications capability and the application were implemented using Car2X API. The evaluation results indicated that the application can effectively detect changes in safety performance at full market penetration. Future research is needed to quantify the combination of penetration rates and monitoring periods that can yield effective detection of changes in safety performance at intersections with varying operating characteristics.
机译:基于崩溃的安全性评估通常受到随机性,缺乏及时性和 撞车事故的稀有性。对于技术驱动的安全尤其如此 经常被更新或替换为新项目的改进项目 可能会收集足够的碰撞数据,以进行可靠且可辩护的评估。 替代品安全数据通常用作碰撞数据的替代方法;但是,它的 当前的实践仍然是资源密集型的并且容易发生人为错误。的到来 互联车辆技术使车辆之间可以相互通信,以及 无线基础设施。通过该平台,车辆的运动和信号状态 设施可以被自动和连续地实时监控。这项研究 探索对车辆数据进行长期监控以确保安全的可行性 绩效评估。本文提出了一种利用以下方面的安全监控应用程序: 连接的车辆数据,以检测信号交叉口的潜在安全指标。作为 预计近期内车载设备(OBE)的饱和度将有限, 开发重点是可以处理数据的路边设备(RSE)应用程序 使用标准通过车载到基础设施(V2I)通信从OBE中获取元素 消息集。设计了一个微观模拟来评估这种方法的有效性。 建议的安全指标,以检测降低的安全性能。信号化 无线通信中在VISSIM中创建了交叉路口测试台 功能和应用程序是使用Car2X API实现的。评价结果 表示该应用程序可以完全有效地检测安全性能的变化 市场渗透。需要进一步的研究来量化渗透的组合 率和监控周期,可以有效地检测出安全性变化 不同操作特性的交叉路口的路况表现。

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