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Implementation and Evaluation of a Cooperative Vehicle-to-Pedestrian Safety Application

机译:车辆到行人安全协作应用的实施和评估

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摘要

While the development of Vehicle-to-Vehicle (V2V) safety applications based on Dedicated Short-Range Communications (DSRC) has been extensively undergoing standardization for more than a decade, such applications are extremely missing for Vulnerable Road Users (VRUs). Nonexistence of collaborative systems between VRUs and vehicles was the main reason for this lack of attention. Recent developments in Wi-Fi Direct and DSRC-enabled smartphones are changing this perspective. Leveraging the existing V2V platforms, we propose a new framework using a DSRC-enabled smartphone to extend safety benefits to VRUs. The interoperability of applications between vehicles and portable DSRC enabled devices is achieved through the SAE J2735 Personal Safety Message (PSM). However, considering the fact that VRU movement dynamics, response times, and crash scenarios are fundamentally different from vehicles, a specific framework should be designed for VRU safety applications to study their performance. In this article, we first propose an end-to-end Vehicle-to-Pedestrian (V2P) framework to provide situational awareness and hazard detection based on the most common and injury-prone crash scenarios. The details of our VRU safety module, including target classification and collision detection algorithms, are explained next. Furthermore, we propose and evaluate a mitigating solution for congestion and power consumption issues in such systems. Finally, the whole system is implemented and analyzed for realistic crash scenarios.
机译:尽管基于专用短距离通信(DSRC)的车对车(V2V)安全应用程序的开发已经经过了十多年的标准化,但对于易受伤害的道路使用者(VRU)而言,此类应用程序却是极为缺失的。 VRU和车辆之间不存在协作系统是导致缺乏关注的主要原因。 Wi-Fi Direct和启用DSRC的智能手机的最新发展正在改变这一观点。利用现有的V2V平台,我们提出了一个使用支持DSRC的智能手机的新框架,以将安全性优势扩展到VRU。通过SAE J2735个人安全消息(PSM),可以实现车辆与支持DSRC的便携式设备之间应用程序的互操作性。但是,考虑到VRU的运动动力学,响应时间和碰撞场景与车辆根本不同的事实,应为VRU安全应用设计一个特定的框架来研究其性能。在本文中,我们首先提出一个端到端的车辆到行人(V2P)框架,以基于最常见且易受伤的碰撞场景提供态势感知和危险检测。接下来,我们将介绍VRU安全模块的详细信息,包括目标分类和碰撞检测算法。此外,我们提出并评估了缓解此类系统中拥塞和功耗问题的解决方案。最后,针对现实的崩溃场景实施并分析了整个系统。

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