Investigating the Effect of Traffic Volume on Vehicle Flow in Kampala, Uganda.
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A good transport system is essential for the socio-economic development and consolidation of any country. Kampala has a total area of 197 km2 also a road network of 1,218 km, 38.35% of paved roads 467 km and 61.65% of unpaved roads 751 km (KCCA, 2014). There are approximately 800,000 vehicles in the country, with a potential of additional 20,000 vehicles per year. About 24,000 man-hours are lost each day by the residents in Kampala due to traffic congestion. That translates to approximately 52 days per year spent sitting in traffic jams. With one of the fastest growing city population in Africa, at 4.1%, there has been a long overdue need for effective control of traffic flow (KCCA, 2022). This research report aims to investigate the relationship between traffic volume and vehicle flow in the bustling city of Kampala, Uganda. The study was conducted to address the growing concerns regarding traffic congestion and its impact on urban mobility. Statistical analysis was employed to analyze a comprehensive dataset collected from various locations across Kampala, spanning a specific period of time. The research findings revealed a strong correlation between traffic volume and vehicle flow in Kampala. Through the analysis of traffic volume data, it was observed that the city experiences significant fluctuations in vehicle flow throughout the day. Peak traffic hours, typically occurring during morning and evening rush hours, exhibited the highest traffic volumes and subsequently led to decreased vehicle flow. Furthermore, the study investigated the impact of various factors on traffic volume, such as road infrastructure, population density, and urban development. The statistical analysis indicated that areas with narrower roads, higher population density, and inadequate road infrastructure experienced higher traffic volumes, resulting in reduced vehicle flow. To mitigate the negative consequences of traffic congestion, the research report suggests implementing targeted interventions. These interventions include the expansion of road infrastructure, improving public transportation systems, and congestion pricing. These measures aim to optimize vehicle flow and enhance the overall efficiency of the transportation network in Kampala. The findings of this research report provide valuable insights for urban planners, policymakers, and transportation authorities in Kampala, as well as other cities facing similar traffic challenges. By understanding the relationship between traffic volume and vehicle flow, informed decisions can be made to alleviate congestion and improve the overall quality of transportation in urban areas.