>Scientific Journal of Logistics<

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Issue 1/ 2014, article 4

Authors: Ireneusz Celiński, Grzegorz Sierpiński


Keywords: public transportation, management model, transportation fleet


Background: The article outlines managing a public transportation fleet in the dynamic aspect. There are currently many technical possibilities of identifying demand in the transportation network. It is also possible to indicate legitimate basis of estimating and steering demand. The article describes a general public transportation fleet management concept based on balancing demand and supply.

Material and methods: The presented method utilizes a matrix description of demand for transportation based on telemetric and telecommunication data. Emphasis was placed mainly on a general concept and not the manner in which data was collected by other researchers. 

Results: The above model gave results in the form of a system for managing a fleet in real-time. The objective of the system is also to optimally utilize means of transportation at the disposal of service providers.

Conclusions: The presented concept enables a new perspective on managing public transportation fleets. In case of implementation, the project would facilitate, among others, designing dynamic timetables, updated based on observed demand, and even designing dynamic points of access to public transportation lines. Further research should encompass so-called rerouting based on dynamic measurements of the characteristics of the transportation system.

Full text available in in english in format: Adobe Acrobat pdf article nr 4 - pdf

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Zusammenfassung in Deutsch Zusammenfassung in Deutsch.

For citation:

MLA Celiński, Ireneusz, and Grzegorz Sierpiński. "Real time model for public transportation management." Logforum 10.1 (2014): 4.
APA Ireneusz Celiński, Grzegorz Sierpiński (2014). Real time model for public transportation management. Logforum 10 (1), 4.
ISO 690 CELIńSKI, Ireneusz, SIERPIńSKI, Grzegorz. Real time model for public transportation management. Logforum, 2014, 10.1: 4.
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