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Cooperative Overtaking Assistance System Based on V2V Communications and RTDB

机译:基于V2V通信和RTDB的协同超车辅助系统

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摘要

Overtaking maneuvers in roads cause a large number of accidents. To prevent collisions, numerous cooperative overtaking assistance systems, based on Vehicular Ad hoc Networks (VANET), have been proposed. However, these systems may meet problems in case of data congestion or data loss. To improve overtaking safety, this paper studies the use of Vehicle-To-Vehicle (V2V) communications and Real-Time DataBases (RTDB). More precisely, we suggest a new integrated system, called Cooperative Overtaking Assistance Persistent System (COAPS), to better avoid potential collisions during overtaking maneuvers. Each vehicle stores its information in a local RTDB, along with the adjacent vehicles' information. While detecting an overtaking intention, the vehicle COAPS queries its database and selects the preceding vehicle(s) and the oncoming one(s) from the other direction to make decision about the overtaking. It controls the overtaking in case of positive decision or reduces the vehicle speed to avoid a collision ahead, in the other case. Simulations of different driving scenarios, under the Vehicles In Network Simulation (VEINS) framework, show that COAPS provides a high level of overtaking safety due to the V2V communications, the RTDB and the notion of Quality of Data used to reduce the number of data freshness transactions.
机译:道路上的超车操作会导致大量事故。为了防止碰撞,已经提出了许多基于车辆自组织网络(VANET)的协作超车辅助系统。但是,在数据拥塞或数据丢失的情况下,这些系统可能会遇到问题。为了提高超车安全性,本文研究了车辆到车辆(V2V)通信和实时数据库(RTDB)的使用。更准确地说,我们建议使用一种称为“合作超车辅助持续系统”(COAPS)的新集成系统,以更好地避免在超车演习中可能发生的碰撞。每辆车的信息以及相邻车的信息都存储在本地RTDB中。在检测到超车意图时,车辆COAPS会查询其数据库,并从另一个方向选择前面的车辆和即将到来的车辆,以做出关于超车的决定。在肯定的情况下,它控制超车,或者在另一种情况下,降低车速以避免前方碰撞。在“网络车辆仿真”(VEINS)框架下对不同驾驶场景的仿真表明,由于V2V通信,RTDB和用于减少数据新鲜度的数据质量概念,COAPS提供了高水平的超车安全性交易。

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