We used a system of linear equations to determine the number of vehicles that should be allowed to route a four one-way streets in Kumasi, in order to keep traffic flowing. The systems of equations used in the model were solved analytically using the method of Gauss-Jordan elimination. Our work shows that if 155vph, 276vph, and 240vph are allowed to route intersection A and B, A and D and D and C of the 654 Isaac Kwasi Adu et al. model respectively, traffic congestion in the area of Kumasi discussed in the model would be minimized. We recommend to the stakeholders of Kumasi to provide exclusive lanes for public transport, ensure the use of traffic regulations and traffic engineers to control the traffic, use innovative ideas to reduce traffic impacts on public transport, provide traffic lights at the four intersections under discussion in this research and adjust them in the direction of the results of this research.
Postharvest loss is one major problem farmers in Adaklu Traditional Area that most Ghanaian farmers face. As a result, many farmers wallow in abject poverty. Warehouses are important facilities that help to reduce postharvest loss. In this research, Beresnev pseudo-Boolean Simple Plant Location Problem (SPLP) model is used to locate a warehouse at Adaklu Traditional Area, Volta Region, Ghana. This model was used because it gives a straightforward computation and produces no iteration as compared with other models. The SPLP is a problem of selecting a site from candidate sites to locate a plant so that customers can be supplied from the plant at a minimum cost. The model is made up of fixed cost and transportation cost. Location index ordering matrix was developed from the transportation cost matrix and we used it with the fixed cost and differences between variable costs to formulate the Beresnev function. Linear term developed from the function which was partial is pegged to obtain a complete solution. Of the 14 notable communities considered,Adaklu Wayais found most suitable for the setting of the warehouse. The total cost involved is Gh₵78,180.00.
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