Comparative Performance Analysis Of Traffic Congestion In Six South-South States’ Capitals Of A Developed Mobile Communication Network On Christmas Day Celebration Against Muslim Muhammad’s Birthday Celebration
Authors: Professor Chika Moore; Wemembu Raphael Uchenna
Affiliation: Department of Mathematics, Nnamdi Azikiwe University, Awka, Nigeria
Article Type: Original Research Article
Publication: West African Journal of Industrial and Academic Research 27(4), pp. 22-29
Research Design: Quantitative Comparative Analysis
Evidence Type: Primary Empirical Research
Keywords: Telecom Network Analytics, Congestion Threshold Assessment, Quality of Service (QoS), Mobile Communication Network, Traffic Congestion Analysis, Percentage Congestion (PCONG)
Abstract: This study evaluates traffic congestion in a developed mobile communication network in the six South-South states’ capitals in Nigeria using Percentage Congestion (PCONG) as the primary Key Performance Indicator and Pearson Product-Moment Correlation Coefficient for measuring how strongly the celebrations are associated. Real traffic data collected from 72 sectors (12 sectors per state capital) over December 2024 (Christmas Day celebration) and June 2025 (Muslim Muhammad Birthday celebration) were analysed to determine congestion levels and identify performance bottlenecks. Results show that different sectors per state recorded congestion values significantly above the 5% KPI threshold, indicating insufficient capacity during peak periods. The findings show that both celebrations have strong relationship agreement and further highlight the need for sector-specific optimisation to improve Quality of Service (QoS), reduce call drops, and enhance user experience.
Suggested Citation:
Moore, C., & Uchenna, W. R. (2026). Comparative Performance Analysis Of Traffic Congestion In Six South-South States’ Capitals Of A Developed Mobile Communication Network On Christmas Day Celebration Against Muslim Muhammad’s Birthday Celebration. West African Journal of Industrial and Academic Research, 27(4), 22-29.