Trans Motauto World
Vol. 7 (2022), Issue 2, pg(s) 77-80

TRANSPORT. SAFETY AND ECOLOGY. LOGISTICS AND MANAGEMENT

Using algorithms to solve problems in urban transport optimization Case study: Prishtina

  • 1 Faculty of Mechanical Engineering, University of Prishtina, Kosovo

Abstract

The scope of this paper is using Dijkstra algorithm in Python to get the urban transport optimization one step further, by finding the best route, besides analysing the shortest one. Studying urban transport routes has been first analysed by Dijkstra algorithm taking into consideration two parameters, the number of stations and distances between stations. After this, the code of Dijkstra algorithm has been implemented in Python, adding the demand for travelling in each station.

Keywords

References

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