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A shared parking model in vehicular network using fog and cloud environment

机译:雾和云环境下的车辆网络共享停车模型

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At the present, the traffic is really in a mess when the number of vehicles is increasing rapidly. As a consequence, finding a parking space is remarkably difficult and expensive. Therefore, solving this problem has attracted the attention of both scientists and companies. Our study also focuses on solving parking problem to relieve the traffic congestion, reduce air pollution and enhance driving effectively. However, unlike other studies, we consider parking problem in the view of IoT. From this perspective, Fog Computing and Roadside Cloud are utilized to find a vacant spot. By utilizing this infrastructures, any parking space at many places can be shared. Then, we analyze and apply the matching theory to solve the parking problem. Accordingly, our proposal not only helps drivers finding an ideal available space but also brings the owners of these places profit. Simulation results demonstrate that the proposed approach is a reliable solution for the finding parking slot.
机译:目前,当车辆数量迅速增加时,交通实为一团糟。结果,寻找停车位非常困难且昂贵。因此,解决这个问题引起了科学家和公司的关注。我们的研究还着重于解决停车问题,以缓解交通拥堵,减少空气污染和有效提高驾驶效率。但是,与其他研究不同,我们从物联网的角度考虑停车问题。从这个角度出发,利用雾计算和路边云来找到一个空位。通过利用该基础设施,可以共享许多地方的任何停车位。然后,我们分析并应用匹配理论来解决停车问题。因此,我们的建议不仅可以帮助驾驶员找到理想的可用空间,还可以为这些地方的所有者带来利润。仿真结果表明,所提出的方法是寻找停车位的可靠解决方案。

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