Journal of Computer and Communication Networks
Research Article
Volume 01, 2025
Real Time Data and Decisions in Aarhus and Surrey Smart
Journal of Computer and Communication Networks
Received On : 25 December 2024
Revised On : 29 January 2025
Accepted On : 12 February 2025
Published On : 28 February 2025
Volume 01, 2025
Pages : 033-042
Abstract
This study investigates the performance of real-time data processing systems in smart cities, with a focus on the implementation of autonomous decision-making processes for urban management. The research collects data sets from Aarhus (Denmark) and Surrey (Canada) to analyze data processing performance using traffic, parking, pollution and water consumption datasets. The data processing timeframe and data passage rates benefit from implementing the min-max normalization technique together with other filtration methods. The BDA-based smart city architecture shows a positive effect on real-time decision efficiency which benefits traffic congestion control and parking space tracking and water consumption assessment. Through independent event-driven notifications the system helps urban management as well as improves service quality delivered to city dwellers. Application of data filtration improves Hadoop and Spark-based framework performance for large dataset processing according to the study which demonstrates better processing time and throughput results.
Keywords
Real-Time Data Processing, Smart Cities, Autonomous Decision-Making, Urban Data Analysis, Traffic Management, Pollution Monitoring, Data Normalization, Hadoop, Spark, Smart Parking Systems.
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Cite this Article
Nandhini Priya T, “Real Time Data and Decisions in Aarhus and Surrey Smart”, Journal of Computer and Communication Networks, pp. 033-042, 28 February 2025, doi: 10.64026/JCCN/2025004.
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© 2025 Nandhini Priya T. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.