An Innovative Osmotic Computing Framework for Self Adapting City Traffic in Autonomous Vehicle Environment
An Innovative Osmotic Computing Framework for Self Adapting City Traffic in Autonomous Vehicle Environment
复制标题
自动驾驶环境中自适应城市交通的创新渗透计算框架
DOI：
10.1109/iscc.2018.8538675
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
M. Villari
中科院分区：
文献类型：
--
作者：
Basilio Filocamo;A. Galletta;M. Fazio;J. Ruiz;M. Sotelo;M. Villari
近年来，自动驾驶正在成为研究人员和汽车制造商的热门话题。事实上，世界各地都有新的发现。在这项工作中，我们提出了一个创新的渗透计算解决方案，在自动驾驶汽车环境中的自适应城市交通。考虑了城市特定区域内的车辆到车辆（V2V）和车辆到边缘云（V2EC）的相互作用：互连。我们正在创建的框架能够适应动态环境，车辆，行人和物理结构可以相互作用，提供有关互连状态和城市交通的连续信息。
In recent years, autonomous driving is becoming a very hot topic for both researchers and car manufacturers. Indeed, around the world new discoveries have been published. In this work we present an innovative Osmotic Computing solution for self adapting city traffic in autonomous vehicle environment. The Vehicular-to-Vehicular (V2V) and Vehicular to Edge-Cloud (V2EC) interactions inside specific areas of the City are considered: the interconnections. The Framework we are creating is able to adapt on a Dynamic Environment where Vehicles, Pedestrians and Physical Infrastructures can interact each other, offering continuous information on interconnections status and city traffic in general.
DOI：
10.1109/mits.2014.2306552
发表时间：
2014-06-01
影响因子：
3.6
作者：
Ziegler, Julius;Bender, Philipp;Zeeb, Eberhard
通讯作者：
Zeeb, Eberhard