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Erschienen in:
Autonomic Transport Management Systems—Enabler for Smart Cities, Personalized Medicine, Participation and Industry Grid/Industry 4.0 Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Dimensioning of Multiple Capacity Transport Line with Mutual Traffic Correlation

verfasst von : Srećko Krile

Erschienen in: Intelligent Transportation Systems – Problems and Perspectives

Verlag: Springer International Publishing

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Abstract

Transport networks need very effective optimization tool for good utilization of transport line capacities. Planning and dimensioning of capacities can be done in definite planning horizon or to satisfy offered traffic from point to point in the network, crossing multiple lines on the path. Such approach is the crucial part of every Intelligent Transport System (ITS) today. Capacity dimensioning is an important element of resource management and it can be seen as CEP (capacity expansion problem). The mathematical model for optimal capacity sizing of N different transport types (capacity types—commodities) is explained, minimizing the total expansion cost. In the case of CEP for multiple line capacities with mutual traffic correlation such problem could be more demanding. With such approach an efficient heuristic algorithm for three different capacity types is being developed and tested on two different scenarios, for long-term capacity planning and for strategic multi-stop route creation in airline industry.

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Vorheriges Kapitel The Traffic Flow Prediction Using Bayesian and Neural Networks
Nächstes Kapitel Design of an ITS for Industrial Enterprises
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Metadaten
Titel
Dimensioning of Multiple Capacity Transport Line with Mutual Traffic Correlation
verfasst von
Srećko Krile
Copyright-Jahr
2016
Buch
Intelligent Transportation Systems – Problems and Perspectives

Print ISBN: 978-3-319-19149-2

Electronic ISBN: 978-3-319-19150-8

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-19150-8_5

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