The transition of the automotive industry to electric vehicles is constantly accelerating and thus the share of electric vehicles on the global market is drastically increasing. Along with all the advantages of electric vehicles comes one major drawback, the limited capacity of the battery, i.e. a small driving range. One of the possible solutions to increase the driving range of electric vehicles, without requiring an increase in battery capacity, is routing of electric vehicles according to the energy-dependent shortest path. The problem of vehicle routing is directly related to the field of intelligent transport systems. The aim of this research is to solve energy-dependent shortest path on the road network and create an interactive graphical user interface for easy and efficient use by end users. In order to achieve this aim, a program was created using the Microsoft Visual Studio development environment and the C# programming language. The paper explains in detail the operation of the Dijkstra algorithm for solving the shortest path problem and the implementation of the FibonacciHeap data structure, which significantly speeds up the execution of the algorithm. The result of this research offers a practical insight into the solution of the energy-dependent shortest path problem using the created interactive graphic user interface and enables the implementation of energy-spatial analyses on the road network.