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Title:Computer-supported modelling of multimodal transportation networks rationalization
Authors:ID Zelenika, Ratko (Author)
ID Vukmirović, Slavomir (Author)
ID Mujić, Hilmija (Author)
Files:.pdf PROMET_2007_Zelenika,_Vukmirovic,_Mujic_Computer-supported_modelling_of_multimodal_transportation_networks_rationalization.pdf (5,11 MB)
MD5: 3DDA239919FFD23212864A2B72ACA15E
 
URL http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/962
 
Language:English
Work type:Scientific work
Typology:1.03 - Other scientific articles
Organization:FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
Abstract:This paper deals with issues of shaping and functioning of computer programs in the modelling and solving of multimodal transportation network problems. A methodology of an integrated use of a programming language for mathematical modelling is defined, as well as spreadsheets for the solving of complex multimodal transportation network problems. The paper contains a comparison of the partial and integral methods of solving multimodal transportation networks. The basic hypothesis set forth in this paper is that the integral method results in better multimodal transportation network rationalization effects, whereas a multimodal transportation network model based on the integral method, once built, can be used as the basis for all kinds of transportation problems within multimodal transport. As opposed to linear transport problems, multimodal transport network can assume very complex shapes. This paper contains a comparison of the partial and integral approach to transportation network solving. In the partial approach, a straight forward model of a transportation network, which can be solved through the use of the Solver computer tool within the Excel spreadsheet interface, is quite sufficient. In the solving of a multimodal transportation problem through the integral method it is necessary to apply sophisticated mathematical modelling programming languages which support the use of complex matrix functions and the processing of a vast amount of variables and limitations. The LINGO programming language is more abstract than the Excel spreadsheet, and it requires a certain programming knowledge. The definition and presentation of a problem logic within Excel, in a manner which is acceptable to computer software, is an ideal basis, for modelling in the LINGO programming language, as well as a faster and more effective implementation of the mathematical model. This paper provides proof for the fact that it is more rational to solve the problem of multimodal transportation networks by using the integral, rather than the partial method.
Keywords:intermodal transportation, transportation networks, spreadsheets, mathematical modelling, programming languages, Lingo, Solver
Publication status:Published
Publication version:Version of Record
Year of publishing:2007
Number of pages:str. 277-288
Numbering:Letn. 19, št. 5
PID:20.500.12556/DKUM-65970 New window
ISSN:0353-5320
UDC:656:004.3
ISSN on article:0353-5320
COBISS.SI-ID:11946774 New window
DOI:10.7307/ptt.v19i5.962 New window
NUK URN:URN:SI:UM:DK:FK2E6XJW
Publication date in DKUM:01.06.2017
Views:1387
Downloads:164
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Promet
Shortened title:Promet
Publisher:Fakultet prometnih znanosti, Fakulteta za pomorstvo in promet, Universita degli studi di Trieste, Istituto per lo studio dei transporti nell'integrazione economica europea, Fakultet za saobračaj i komunikacije, Fakulta prevadzky a ekonomiky dopravy a spojov, Dopravni fakulta Jana Pernera
ISSN:0353-5320
COBISS.SI-ID:1416196 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:01.06.2017

Secondary language

Language:Croatian
Title:Računalno podržano modeliranje racionalizacije multimodalnih transportnih mreža
Abstract:U radu je obrađena problematika oblikovanja i funkcioniranja računalnih programa u modeliranju i rješavanju problema multimodalnih transportnih mreža. Definirana je metodologija integrirane uporabe programskog jezika za matematičko modeliranje i proračunske tablice u rješavanju problema složene multimodalne transportne mreže. Uspoređene su parcijalna i integralna metoda rješavanja multimodalnih transportnih mreža. Temeljna hipoteza postavljena u ovom radu je da se integralnom metodom postižu bolji učinci racionalizacije multimodalnih transportnih mreža, pri čemu se jednom izgrađeni model multimodalne transportne mreže temeljen na integralnoj metodi, može koristiti kao temelj za sve vrste transportnih problema u multimodalnom transportu. Za razliku od linearnih transportnih problema multimodalna transportna mreža može poprimiti vrlo složene oblike. U radu su uspoređeni parcijalni i integralni pristup rješavanja transportne mreže. Kod parcijalnog pristupa dovoljan je jednostavniji model transportne mreže koji se može riješiti uporabom računalnog alata Solver u sučelju proračunske tablice Excel. U rješavanju multimodalnog transportnog problema integralnom metodom, potrebno je koristiti sofisticirane programske jezike za matematičko modeliranje koji podržavaju uporabu složenih matričnih funkcija i procesiranje velikog broja varijabli i ograničenja. Programski jezik LINGO je apstraktniji u odnosu na proračunsku tablicu Excel i zahtijeva određena znanja o programiranju. Definiranje i prezentacija logike problema u Excelu na način prihvatljiv računalnom programu predstavlja idealnu osnovu za modeliranje u programskom jeziku LINGO, te bržu i učinkovitiju implementaciju matematičkog modela. U radu je dokazano da je problem multimodalne transportne mreže racionalnije rješavati integralnom, nego parcijalnom metodom.
Keywords:multimodalni transport, transportne mreže, matematično modeliranje, Lingo, Solver


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