Geographic Information Systems and MATLAB Simulation to Quantify and Analyze Traffic Congestion in Oja Oba Road, Arakale Road, and FUTA North Gate Road of Akure, Ondo State, Nigeria

Urban traffic congestion presents persistent challenges to transportation efficiency, economic productivity, and environmental health, particularly in rapidly urbanizing cities. Hence, the objective of this paper is to quantify and analyze traffic congestion in Oja Oba Road, Arakale Road, and FUTA...

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Main Authors: E. T. Idowu, O. J. Nnamani, O. O. Aderinlewo
Format: Article
Language:English
Published: Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP) 2025-02-01
Series:Journal of Applied Sciences and Environmental Management
Subjects:
Online Access:https://www.ajol.info/index.php/jasem/article/view/288023
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author E. T. Idowu
O. J. Nnamani
O. O. Aderinlewo
author_facet E. T. Idowu
O. J. Nnamani
O. O. Aderinlewo
author_sort E. T. Idowu
collection DOAJ
description Urban traffic congestion presents persistent challenges to transportation efficiency, economic productivity, and environmental health, particularly in rapidly urbanizing cities. Hence, the objective of this paper is to quantify and analyze traffic congestion in Oja Oba Road, Arakale Road, and FUTA North Gate road of Akure, Ondo State, Nigeria using a combination of Geographic Information Systems (GIS) and MATLAB simulation. In this study, data collected include vehicle speed, travel time, GPS tracking, and odometer markings. The Greenshields traffic model, applied within MATLAB, provided insights into speed-density and flow-density relationships. The result shows that Motorcycles are most prevalent on Arakale Road (8618 ± 3045), with extended travel periods (3153 ± 1153). Tricycles are common on Arakale and Oja-Oba, but their activity on North Gate is minimal. Cars exhibit the highest traffic on North Gate (7169 ± 1794) and Oja-Oba (11753 ± 894) while Buses are heavily concentrated on North Gate road (1696 ± 522). Vans and Trucks have limited traffic overall, with North Gate having the highest volumes, highlighting its importance for goods and freight transport. Travel Durations are longest on North Gate Road for all vehicle types, suggesting higher congestion compared to the other routes. Findings revealed peak congestion during evening hours and distinct congestion patterns across road types, with motorcycles and cars as the primary contributors to traffic volume. This GIS-MATLAB integration offers a robust tool for urban planners, allowing detailed congestion analysis and supporting data-driven strategies to enhance traffic management. The framework can be adapted for other urban centers facing similar congestion issues, facilitating more effective transport infrastructure planning.
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institution Kabale University
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publishDate 2025-02-01
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spelling doaj-art-31c663706c074673b5b19cbf06916b302025-02-02T19:51:26ZengJoint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP)Journal of Applied Sciences and Environmental Management2659-15022659-14992025-02-01291Geographic Information Systems and MATLAB Simulation to Quantify and Analyze Traffic Congestion in Oja Oba Road, Arakale Road, and FUTA North Gate Road of Akure, Ondo State, NigeriaE. T. IdowuO. J. NnamaniO. O. Aderinlewo Urban traffic congestion presents persistent challenges to transportation efficiency, economic productivity, and environmental health, particularly in rapidly urbanizing cities. Hence, the objective of this paper is to quantify and analyze traffic congestion in Oja Oba Road, Arakale Road, and FUTA North Gate road of Akure, Ondo State, Nigeria using a combination of Geographic Information Systems (GIS) and MATLAB simulation. In this study, data collected include vehicle speed, travel time, GPS tracking, and odometer markings. The Greenshields traffic model, applied within MATLAB, provided insights into speed-density and flow-density relationships. The result shows that Motorcycles are most prevalent on Arakale Road (8618 ± 3045), with extended travel periods (3153 ± 1153). Tricycles are common on Arakale and Oja-Oba, but their activity on North Gate is minimal. Cars exhibit the highest traffic on North Gate (7169 ± 1794) and Oja-Oba (11753 ± 894) while Buses are heavily concentrated on North Gate road (1696 ± 522). Vans and Trucks have limited traffic overall, with North Gate having the highest volumes, highlighting its importance for goods and freight transport. Travel Durations are longest on North Gate Road for all vehicle types, suggesting higher congestion compared to the other routes. Findings revealed peak congestion during evening hours and distinct congestion patterns across road types, with motorcycles and cars as the primary contributors to traffic volume. This GIS-MATLAB integration offers a robust tool for urban planners, allowing detailed congestion analysis and supporting data-driven strategies to enhance traffic management. The framework can be adapted for other urban centers facing similar congestion issues, facilitating more effective transport infrastructure planning. https://www.ajol.info/index.php/jasem/article/view/288023Traffic Congestion; Urban Transportation; Geographic Information System; MATLAB Simulation; Greenshields Model
spellingShingle E. T. Idowu
O. J. Nnamani
O. O. Aderinlewo
Geographic Information Systems and MATLAB Simulation to Quantify and Analyze Traffic Congestion in Oja Oba Road, Arakale Road, and FUTA North Gate Road of Akure, Ondo State, Nigeria
Journal of Applied Sciences and Environmental Management
Traffic Congestion; Urban Transportation; Geographic Information System; MATLAB Simulation; Greenshields Model
title Geographic Information Systems and MATLAB Simulation to Quantify and Analyze Traffic Congestion in Oja Oba Road, Arakale Road, and FUTA North Gate Road of Akure, Ondo State, Nigeria
title_full Geographic Information Systems and MATLAB Simulation to Quantify and Analyze Traffic Congestion in Oja Oba Road, Arakale Road, and FUTA North Gate Road of Akure, Ondo State, Nigeria
title_fullStr Geographic Information Systems and MATLAB Simulation to Quantify and Analyze Traffic Congestion in Oja Oba Road, Arakale Road, and FUTA North Gate Road of Akure, Ondo State, Nigeria
title_full_unstemmed Geographic Information Systems and MATLAB Simulation to Quantify and Analyze Traffic Congestion in Oja Oba Road, Arakale Road, and FUTA North Gate Road of Akure, Ondo State, Nigeria
title_short Geographic Information Systems and MATLAB Simulation to Quantify and Analyze Traffic Congestion in Oja Oba Road, Arakale Road, and FUTA North Gate Road of Akure, Ondo State, Nigeria
title_sort geographic information systems and matlab simulation to quantify and analyze traffic congestion in oja oba road arakale road and futa north gate road of akure ondo state nigeria
topic Traffic Congestion; Urban Transportation; Geographic Information System; MATLAB Simulation; Greenshields Model
url https://www.ajol.info/index.php/jasem/article/view/288023
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