Real-time Prediction of Accident using Big Data System

Mouad Tantaoui, M. Laanaoui, M. Kabil
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Abstract

In this paper, we propose a new prediction system in real time using Big Data to improve the VANET network. Firstly, The Traffic density and average speed are calculated in each section of road, and then the risk of vehicle accident is predicted in instantaneous manner with parallel data processing, which makes execution faster.
基于大数据系统的事故实时预测
本文提出了一种利用大数据对VANET网络进行实时预测的新系统。首先计算各路段的交通密度和平均速度,然后采用并行数据处理的方式进行车辆事故风险的瞬时预测,提高了执行速度。
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