An intelligent traffic monitoring approach based on Hadoop ecosystem

Ikram Hamdaoui, Mohamed El Fissaoui, K. Makkaoui, Z. E. Allali
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引用次数: 1

Abstract

Nowadays, smart cities (SCs) use technologies and different types of data collected to improve the lifestyles of their citizens. Indeed, connected smart vehicles are technologies used for an SC’s intelligent traffic monitoring systems (ITMSs). However, most proposed monitoring approaches do not consider realtime monitoring. This paper presents real-time data processing for an intelligent traffic monitoring dashboard using the Hadoop ecosystem dashboard components. Many data are available due to our proposed monitoring approach, such as the total number of vehicles on different routes and data on trucks within a radius (10KM) of a specific point given. Based on our generated data, we can make real-time decisions to improve circulation and optimize traffic flow.
一种基于Hadoop生态系统的智能流量监控方法
如今,智慧城市(SCs)利用技术和收集的不同类型的数据来改善市民的生活方式。事实上,联网智能汽车是SC智能交通监控系统(ITMSs)使用的技术。然而,大多数建议的监控方法都没有考虑实时监控。本文介绍了利用Hadoop生态系统仪表板组件实现智能交通监控仪表板的实时数据处理。由于我们提出的监测方法,可以获得许多数据,例如不同路线上的车辆总数以及给定特定点半径(10KM)内的卡车数据。根据我们生成的数据,我们可以做出实时决策,以改善流通和优化交通流量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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