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Cooperative BSM architecture to improve transportation safety in VANETs

机译：协作BSM体系结构可提高VANET中的运输安全性

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摘要

For human-driven as well as autonomous vehicles, one of the key requirements is continuous awareness of the surroundings to detect any potential threats (vehicles, pedestrians, wild-life etc.). This requires continuous cooperation between the vehicles by efficiently sharing safety information in a timely manner. However, this is a multi-dimensional and challenging problem due to the complex nature of the vehicular environment. To solve this problem, this paper proposes an elegant solution to efficiently share the safety information among vehicles by using only Basic Safety Messages (BSM), which are part of the existing V2V standards. Through this research, the vehicles are able to quickly and preemptively identify potential threats, not only in their close proximity, but also those which are further along the roadway by intelligently exchanging safety information between neighboring vehicles. Additionally, for the first time, the proposed architecture presents a practical approach of incorporating the onboard sensor data with the V2V communications. This leads to vehicles having improved visibility and situational awareness further outside of their one-hop coverage. Simulation results show that improved visibility of vehicles up to 2.6 km can be achieved while placing minimum overhead and complexity on the network.
机译：对于人类驾驶和自动驾驶车辆，关键要求之一是不断了解周围环境，以发现任何潜在威胁（车辆，行人，野生生物等）。这需要通过及时有效地共享安全信息来在车辆之间进行持续的合作。然而，由于车辆环境的复杂性，这是一个多维且具有挑战性的问题。为了解决这个问题，本文提出了一种优雅的解决方案，可以仅使用现有V2V标准中的基本安全消息（BSM）有效地在车辆之间共享安全信息。通过这项研究，车辆可以通过智能地在相邻车辆之间交换安全信息，从而迅速，抢先地识别潜在威胁，不仅包括在其附近，而且还包括那些在沿途道路的威胁。此外，首次提出的架构提出了一种实用的方法，将机载传感器数据与V2V通信结合在一起。这导致车辆在其一站式覆盖范围之外进一步提高了能见度和态势感知能力。仿真结果表明，在将网络上的开销和复杂性降至最低的同时，可以提高2.6 km的车辆的视野。

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