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Smart city article details

Title An Intelligent Traffic Monitoring Approach Based On Hadoop Ecosystem
ID_Doc 8563
Authors Hamdaoui I.; Fissaoui M.E.; Makkaoui K.E.; Allali Z.E.
Year 2022
Published Proceedings of the 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5G/6G-Based Interconnected Digital Worlds, NISS 2022
DOI http://dx.doi.org/10.1109/NISS55057.2022.10085663
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. © 2022 IEEE.
Author Keywords Big Data; Connected Smart Vehicles; Hadoop ecosystem; Intelligent Traffic Monitoring; Real-time Data Processing; Smart Cities


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