Abstract

In order to enable smart transportation, an efficient vehicle-to-everything (V2X) communication scheme is required. However, due to the mobility of vehicles and temporal varying features of vehicular environment, it is challenging to design an efficient communication scheme for vehicular networks. In this paper, we first give a review on the recent research efforts for solving communication challenges in vehicular networks, and then propose a traffic Big Data Assisted Communication scheme, BDAC, for vehicular networks. The proposed scheme uses past traffic big data to estimate the vehicle density and velocity, and then uses the prediction results to improve the V2X communications. We implement the proposed scheme in a multi-hop broadcast protocol to show the advantage of the proposed scheme by comparing with other baselines.

中文翻译：

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将大数据辅助的V2X通信向智能交通运输

摘要

为了实现智能运输，需要一种高效的车对所有（V2X）通信方案。然而，由于车辆的机动性和车辆环境的时间变化特征，因此设计用于车辆网络的有效通信方案是具有挑战性的。在本文中，我们首先回顾解决车载网络通信挑战的最新研究成果，然后提出用于车载网络的流量大数据辅助通信方案BDAC。提出的方案使用过去的交通大数据来估计车辆密度和速度，然后使用预测结果来改善V2X通信。我们在多跳广播协议中实现了所提出的方案，以通过与其他基线进行比较来展示所提出的方案的优势。