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DETECTING THE TRANSPORT HUBS PROBLEM: AN EVOLUTIONARY APPROACH

1 Mażbic-Kulma Barbara
Co-authors:
2 OWSIŃSKI Jan W. 1,2 Stańczak Jarosław 2 BARSKI Aleksy 1,2 Sęp Krzysztof
Institutions:
1 Wyższa Szkoła Informatyki Stosowanej i Zarządzania, 01-447 Warszawa, ul. Newelska 6
2 Instytut Badań Systemowych PAN, 01-447 Warszawa, ul. Newelska 6
Conference:
Carpathian Logistics Congress, Hotel Tatra, Zakopane, Poland, EU, November 28th - 30th 2016
Proceedings:
Proceedings Carpathian Logistics Congress
Pages:
185-190
ISBN:
978-80-87294-76-5
ISSN:
2694-9318
Published:
30th October 2017
Proceedings of the conference were published in Web of Science.
Metrics:
405 views / 142 downloads
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Abstract

In this paper we consider the well known Hub and Spoke problem according to the Warsaw Public Transport System. Our approach is based on data available on the website of the ZTM (Zakłady Transportu Miejskiego - Urban Transport Company) and an evolutionary algorithm method that detects logistic hubs well connected (with the high capacity of available transport means) with the center of the city and other detected hubs. These hubs can become the skeleton of the public transport system and for instance can be good points for localization of the Park and Ride car parks.

Keywords: hub and spoke, evolutionary algorithm

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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