| Title | An intelligent traffic monitoring approach based on Hadoop ecosystem |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Hamdaoui, Ikram, Fissaoui, Mohamed El, Makkaoui, Khalid El, Allali, Zakaria El |
| Conference Name | 2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS) |
| Keywords | Big Data, composability, compositionality, Connected Smart Vehicles, Data processing, Ecosystems, Hadoop ecosystem, intelligent data, Intelligent systems, Intelligent Traffic Monitoring, pubcrawl, real-time data processing, Real-time Systems, resilience, Resiliency, Scalability, security, smart cities |
| 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. |
| DOI | 10.1109/NISS55057.2022.10085663 |
| Citation Key | hamdaoui_intelligent_2022 |
An intelligent traffic monitoring approach based on Hadoop ecosystem