Analysis of Signalized Traffic Control Systems in Uyo Metropolis

In Nigeria's largest cities, particularly in Uyo metropolis, traffic congestion is a critical issue. This paper examines the delays in traffic flow at sixteen signalized intersections in the metropolis for over three days during peak hours. Traffic data were extracted from aerial videos for each signalized intersection using drones. Performance indicators were computed to evaluate traffic characteristics. The Akçelik time-dependent model was used to determine the delay for under-saturated and over-saturated traffic conditions as well the uniform, random, and overflow components of delays and queues at all signalized junctions. This overcomes the limitations of existing works which implemented models that do not account for the effects of variable traffic demand and time periods of analysis, and considered three and eight intersections only. Findings show that the intersections that suffer continuous oversaturation for any day during these peak hours have overall average delay values of 814 and 1216 seconds respectively, and the highest average delay value of 1822 seconds was experienced at the intersection of Oron Road and Udo Umana Street. These values are significant to the efficiency of key major roads in the city, and they indicate a crucial metric in transportation engineering through which traffic engineers are able to optimize signal timings at intersections and implement various traffic management approaches to reduce congestion and enhance traffic flow.

Authors

Institutions

Publication Details

Journal
Journal of Engineering Research and Reports
Published
2025-02-28
DOI
https://doi.org/10.9734/jerr/2025/v27i31430
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Signalized Traffic Control Systems in Uyo Metropolis

Kingsley Monday Udofia, Young Israel Eshiet, Ndifreke James Akpan
Journal of Engineering Research and Reports
Traffic control and management
article

Analysis of Signalized Traffic Control Systems in Uyo Metropolis

Kingsley Monday Udofia, Young Israel Eshiet, Ndifreke James Akpan
article en

Abstract

In Nigeria's largest cities, particularly in Uyo metropolis, traffic congestion is a critical issue. This paper examines the delays in traffic flow at sixteen signalized intersections in the metropolis for over three days during peak hours. Traffic data were extracted from aerial videos for each signalized intersection using drones. Performance indicators were computed to evaluate traffic characteristics. The Akçelik time-dependent model was used to determine the delay for under-saturated and over-saturated traffic conditions as well the uniform, random, and overflow components of delays and queues at all signalized junctions. This overcomes the limitations of existing works which implemented models that do not account for the effects of variable traffic demand and time periods of analysis, and considered three and eight intersections only. Findings show that the intersections that suffer continuous oversaturation for any day during these peak hours have overall average delay values of 814 and 1216 seconds respectively, and the highest average delay value of 1822 seconds was experienced at the intersection of Oron Road and Udo Umana Street. These values are significant to the efficiency of key major roads in the city, and they indicate a crucial metric in transportation engineering through which traffic engineers are able to optimize signal timings at intersections and implement various traffic management approaches to reduce congestion and enhance traffic flow.

Journal of Engineering Research and ReportsVol. 27(3)
University of Uyo (NG)
Openalex Percentile: Top 96%
Traffic control and management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.