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Mobile User Motion Detection and TrafficRoad Management

机译:移动用户运动检测和TrafficRoad管理

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The vision of next generation networks is to offer a real time services such that traffic situation on the major or minor roads. While 3G networks are based on wide area cell concept, 4G will be a hybrid network that use wide area network with Ad-hoc network. In this paper we propose two algorithms, the first algorithm describes how information is disseminate in our system Virtual Explore (VE). VE is a motion detection system that able to predict the mobile user destination. The second algorithm is α-path prediction algorithm that predicts the destination of mobile user based on his previous movements, we expect that our proposed system will reduce the traffic rate between (40-50%) in the case of accidents or in the congested locations. Our analytical results show that the prediction accuracy in our work will vary from 20-40% if we maintains a prediction correctness in the range 40-50%. Considering our goal the prediction accuracy is considered a good results in comparison with other works in the same context.
机译:下一代网络的愿景是提供实时服务,以使主要道路或次要道路上的交通情况成为可能。尽管3G网络是基于广域网概念的,但4G将是混合网络,它将广域网与Ad-hoc网络结合使用。在本文中,我们提出了两种算法,第一种算法描述了如何在我们的系统Virtual Explore(VE)中传播信息。 VE是一种运动检测系统,能够预测移动用户的目的地。第二种算法是α路径预测算法,可根据移动用户的先前移动来预测其移动目的地,我们希望我们提出的系统在发生事故或交通拥堵的情况下,可将流量降低40%至50% 。我们的分析结果表明,如果我们将预测正确性维持在40-50%的范围内,则我们工作中的预测准确度将在20-40%之间变化。考虑到我们的目标,与相同背景下的其他作品相比,预测准确性被认为是不错的结果。

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