Application of the Operational Research Method to Determine the Optimum Transport Collection Cycle of Municipal Waste in a Predesignated Urban Area

Abstract

This paper deals with waste management. The aim is to find out whether the number of municipal mixed waste bins can be reduced due to the impact of waste separation and to determine the optimum municipal waste collection cycle within a predesignated area with an existing urban road network. The number of mixed waste bins depends on two factors—household waste volume and household waste composition. Both of these factors have a significant impact on the number of mixed waste bins required, with household waste composition being of particular importance when it comes to calculating the potential reduction in the number of mixed waste bins required due to waste separation. The calculations for the weight and volume of mixed household waste per person and the composition (types) thereof are presented accordingly. The results reveal which types of waste are the most useful in minimising the number of mixed waste bins by up to 30–50%. To determine the optimum waste collection cycle within the predesignated area with a real urban road network, the Nearest Neighbour Search method was applied. In the discussion, the focus is on whether other methods, including the Two-Phase Heuristic approach and the Bellman-Ford Algorithm, could be applied to solve the problem, whereby parameters such as application time and the capacity of the waste collection vehicle are compared.

The issue of addressing the lack of parking spaces for road freight transport in cities - a case study

“…The main task of the research was to design a complex parking area, which is safe, with catering facilities and social facilities for drivers of trucks with semi-trailers and trailers, and provide conditions for driver regeneration [35][36][37]. After analysing all the positive and negative criteria of the proposals and their evaluation using the TOPSIS method, proposal B will be chosen for realizing in the town of Jindrichuv Hradec.…”

Optimizing the Choice of Means of Transport using Operational Research

“…In order to solve the multi-criteria optimization task, a computer program "Multi-criteria optimization task 2017" was developed [27][28], which enables: a) presentation of the set X j and selection of elements x j ! X j ; b) presentation of the set F j and selection, by the 1440.00 1.00 3.00 6.00 4.00 6.00 14.00 9.00 4.00 9.00 max (f 5 ) 1440.00 f 5 * 1.00 0.00 0.00 0.00 0.00 0.00 0.01 0.01 0.00 0.01 f 5 ** 1.00 f 6 0.00 0.00 0.00 2.00 3.00 3.00 1.00 2.00 1.00 2.00 min (f 6 ) 0.00 f 6 * 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 f 6 ** 0.00 f 7 0.00 0.00 0.00 70.00 70.00 70.00 0.00 0.00 0.00 0.00 min (f 7 ) 0.00 f 7 * 1.00 1.00 1.00 0.00 0.00 0.00 1.00 criteria: time, cost, comfort, safety and availability of the means of transport.…”

“…F and a set of criteria dominated by f i dominance relation i ! U U, the optimization task is implemented according to the following algorithm [27][28][29] means that the object x 2 is the best according to the criterion function F).…”

“…Fee amount[27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43] Criteria values together with the dominance relation U for the Family -class 2 group with luggage on the plane Criteria values together with the dominance relation U for the business customer -class 1 group with luggage Criteria values along with the dominance relation U for the student -class 2 group with luggage on the plane…”

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