Assessing Traffic Congestion on Ikorodu Road, Lagos, Nigeria: A Comparative Analysis of Time-Based and Volume-Based Indices
DOI:
https://doi.org/10.70112/tarce-2024.13.2.4243Keywords:
Traffic Congestion, Ikorodu Road, Time-Based Indices, Travel Time Data, LagosAbstract
Urbanization and economic prosperity are often accompanied by severe traffic congestion in many cities. Lagos’s fast-growing population and demand for mobility make it a victim of this ordeal, especially along key economic corridors like Ikorodu Road. This study aims to identify the most congested sections and assess how effective various indices are for measuring the traffic conditions of Ikorodu Road by using time-based and volume-based traffic congestion indices. Travel time data were estimated using Google Satellite over a two-week period, while traffic volume data were collected using the moving observer car method. The collected data were analyzed using various traffic congestion models, including travel rate, delay ratio, speed performance index, and level of service. The results consistently showed that the section from Ketu to Mile 12 Under-bridge is the most congested, while the Maryland Tunnel to Ojota section experiences the least congestion. However, during peak periods, all sections were found to be habitually gridlocked. Anomalies in the volume-based indices suggested that time-based indices are more effective for measuring congestion, particularly on routes prone to unidirectional traffic flow. This study highlights the severity of traffic congestion along Ikorodu Road and confirms that travel time-based indices are more reliable for assessing congestion in Lagos. These findings provide a foundation for improving traffic assessment strategies and mitigating congestion in the city.
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