Impact of Road Congestion on Mobile Networks

Alexandre Vogel , Dena Markudova , Andra Lutu and Cristel Pelsser

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Abstract

With the proliferation of connected vehicles and in-car infotainment, road congestion could concentrate mobile data demand precisely when network-supported services (e.g., traffic alerts, safety systems) are most critical. We study whether congestion events measurably affect mobile network performance. Using hourly antenna-level metrics from a major operator in a European country and published road congestion events from July–August 2024, we filter for non-ubiquitous, sustained congestion (excluding the top 20% most frequent sections, events shorter than 30 minutes, and the lowest-severity incidents), yielding 1,838 events. Each road segment is associated with its three strongest antennas via a 4G signal-strength campaign. Performance during events is compared to a reference period (same hour in adjacent weeks) in terms of antenna activity, data volume (upload/download), and throughput. High-severity congestion correlates with increased antenna activity and data volume; throughput shows slight degradation primarily in low population density areas, while dense areas exhibit higher volumes with minimal throughput impact, suggesting built-in resilience. However, observed differences are modest and often not statistically significant, and stratification by population density reduces sample size, limiting definitive claims. Ongoing data collection is needed to validate these emerging trends as vehicle connectivity intensifies.

Publication Details

Publication Type
poster
Publication Date
June 2025
Published In
9th IEEE/IFIP Network Traffic Measurement and Analysis Conference (TMA 2025)
Publisher
IFIP Open Digital Library
Location
Copenhagen, Denmark

BibTeX Citation

@poster{Vogel2025,
	title        = {Impact of Road Congestion on Mobile Networks},
	author       = {Vogel, Alexandre and Markudova, Dena and Lutu, Andra and Pelsser, Cristel},
	year         = 2025,
	month        = jun,
	booktitle    = {9th IEEE/IFIP Network Traffic Measurement and Analysis Conference ({TMA} 2025)},
	publisher    = {IFIP Open Digital Library},
	address      = {Copenhagen, Denmark},
	note         = {Poster presentation at TMA 2025, June 10--13, 2025},
	abstract     = {With the proliferation of connected vehicles and in-car infotainment, road congestion could concentrate mobile data demand precisely when network-supported services (e.g., traffic alerts, safety systems) are most critical. We study whether congestion events measurably affect mobile network performance. Using hourly antenna-level metrics from a major operator in a European country and published road congestion events from July–August 2024, we filter for non-ubiquitous, sustained congestion (excluding the top 20\% most frequent sections, events shorter than 30 minutes, and the lowest-severity incidents), yielding 1,838 events. Each road segment is associated with its three strongest antennas via a 4G signal-strength campaign. Performance during events is compared to a reference period (same hour in adjacent weeks) in terms of antenna activity, data volume (upload/download), and throughput. High-severity congestion correlates with increased antenna activity and data volume; throughput shows slight degradation primarily in low population density areas, while dense areas exhibit higher volumes with minimal throughput impact, suggesting built-in resilience. However, observed differences are modest and often not statistically significant, and stratification by population density reduces sample size, limiting definitive claims. Ongoing data collection is needed to validate these emerging trends as vehicle connectivity intensifies.},
	keywords     = {Road congestion, Mobile network performance, Cellular networks, Antenna load, Population density, Traffic event analysis, Data volume, Throughput},
	groups       = {Posters}
}

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