2026

Journal of Computational and Applied Mathematics

Journal year: 2026 | Journal volume: vol. 472

scientific article

english

EN One of the most important aspects related to the subject of smart cities is the so-called intelligent transportation system (ITS). The word intelligent should primarily mean adapting this system to the needs of the largest possible number of residents of a given agglomeration. Hybrid transport with an element of autonomous transport may be its more interesting option. This applies in particular to such vehicles, whose routes can be controlled by the local vehicle-to-infrastructure (V2I) communication system. In this paper, we present the results of a work constituting a kind of theoretical foundation for such a system. In this case, we based our solutions on Google maps, but also on a detailed analysis of local conditions for a given agglomeration. In the analysis, we took into account the distances from suburban towns to railway stations, but also the availability of parking lots. In the presented concept, autonomous transport could be used in a much less complex suburban environment than within the cities. The aforementioned mathematical analysis is based on a concept of Voronoi diagrams, in which particular suburban railway stations are treated as local attractors. In this approach we used the Google Maps engine in one of its stages, which allows determining road distances and travel times between particular towns and nearby railway stations. Each agglomeration is different, so it is worth presenting the concept on selected examples. In this work, we based it on the example of the city of Poznań and its agglomeration in Poland.

116775-1 - 116775-15

10.1016/j.cam.2025.116775

https://www.sciencedirect.com/science/article/pii/S0377042725002894

Article number: 116775

100

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