Autor: Bojarczak, Piotr - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Application of Genetic Algorithms in Design of Public Transport Network
Autorzy:: Lesiak, Piotr
Bojarczak, Piotr
Powiązania:: https://bibliotekanauki.pl/articles/504669.pdf
Data publikacji:: 2015
Wydawca:: Międzynarodowa Wyższa Szkoła Logistyki i Transportu
Tematy:: genetic algorithms
search methods
optimization
transportation problems
Opis:: The paper presents possibilities of application of genetic algorithms in design of public transport network. Transportation tasks such as determination of optimal routes and timetable for means of transport belong to difficult complex optimization problems, therefore they cannot be solved using traditional search algorithms. It turns out that genetic algorithms can be very useful to solve these transportation problem.
Źródło:: Logistics and Transport; 2015, 26, 2; 75-82
1734-2015
Pojawia się w:: Logistics and Transport
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Algorithm for the extraction of selected rail track ballast degradation using machine vision
Autorzy:: Lesiak, Piotr
Bojarczak, Piotr
Sokołowski, Aleksander
Powiązania:: https://bibliotekanauki.pl/articles/27314062.pdf
Data publikacji:: 2023
Wydawca:: Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:: railway track
ballast degradation
image extraction algorithm
surface descriptors
tor kolejowy
Opis:: A number of physical methods are used to survey railway track ballast to assess its degradation as a function of deposition. Simulation tests on track models are also conducted. These testing methods, which are generally labour-intensive and expensive, provide an accurate understanding of the extent of ballast degradation. However, the impact of inadequate maintenance can be observed, even on the surface. Therefore, it seems natural in this case to use image registration. State-of-the-art machine vision systems of track geometry cars provide the means to do this. Obtained ballast images provide a baseline for evaluating its level in relation to sleepers. However, no information is available on other signs of track degradation, such as overgrown vegetation (weeds) or the so-called local muddy areas, which are generally a consequence of poor drainage and a lack of subgrade insulation. These degradations are observed to generate distinctive colour images that are superimposed on the overall image of the ballast surface. They differ in colour and shape. Hence, the authors used this phenomenon to develop an algorithm for the extraction of ballast degradation images based on RGB imaging. Surface descriptors have also been offered to assess these degradations. Extensive measurement material from the railway lines was used to conduct survey experiments based on the examples. The results clearly demonstrate the high success rate of the applied method.
Źródło:: Transport Problems; 2023, 18, 1; 129--141
1896-0596
2300-861X
Pojawia się w:: Transport Problems
Dostawca treści:: Biblioteka Nauki

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