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Assessing the Magnitude of Traffic Congestion Towards Planning for Building Smart City in Nigeria
Subject area: Science,Engineering and Technology · Area of research: Civil Engineering Technology
Abstract
As the economy grows and real income of household increases, vehicle population surges up, contributing to traffic congestion, particularly within cities. Given the critical importance of productivity on the Gross Domestic Product (GDP) growth, it is economically worthwhile, and of policy importance to recognize causes of congestion and their harmful effect. This study investigates the causes of traffic congestion, focusing on a selected road link (Karu-Keffi, Mararaba in Nasarawa State, Nigeria). Physical manual traffic survey was used to gather the data and Descriptive Statistics employed to analyze the data. The average traffic volume on the road was observed to be 4346veh/hr as compared to 2595 veh/hr (Model Road State (MRS) HCM 2000), signifying almost 170% increase. The average travel speed found to be 11kmph and the FFS of 45kmph, giving level of service (LOS) classification of F (signifying breakdown in the flow of traffic). The findings and recommendations herein will help to curb possible traffic congestion and ensure proper traffic management and control consistent with specifications for the smart city.
Keywords
Traffic Congestion, Smart City, Level of Service, Traffic Volume, Traffic Survey.
References
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How to cite this paper
@article{1705481,
author = {Muhammad Sani Aliyu, Hamza Hamza Musa, Jibrin Abdullahi Mairiga, Saleh Mamman Abdullahi, Usman Hassan Ahmad},
title = {Assessing the Magnitude of Traffic Congestion Towards Planning for Building Smart City in Nigeria},
journal = {Iconic Research And Engineering Journals},
year = {2024},
volume = {7},
number = {8},
pages = {98-107},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1705481.pdf},
abstract = {As the economy grows and real income of household increases, vehicle population surges up, contributing to traffic congestion, particularly within cities. Given the critical importance of productivity on the Gross Domestic Product (GDP) growth, it is economically worthwhile, and of policy importance to recognize causes of congestion and their harmful effect. This study investigates the causes of traffic congestion, focusing on a selected road link (Karu-Keffi, Mararaba in Nasarawa State, Nigeria). Physical manual traffic survey was used to gather the data and Descriptive Statistics employed to analyze the data. The average traffic volume on the road was observed to be 4346veh/hr as compared to 2595 veh/hr (Model Road State (MRS) HCM 2000), signifying almost 170% increase. The average travel speed found to be 11kmph and the FFS of 45kmph, giving level of service (LOS) classification of F (signifying breakdown in the flow of traffic). The findings and recommendations herein will help to curb possible traffic congestion and ensure proper traffic management and control consistent with specifications for the smart city.},
keywords = {Traffic Congestion, Smart City, Level of Service, Traffic Volume, Traffic Survey.},
month = {February},
}