Groupage cargo transportation model
Ruslans Aleksejevs, Raufs Guseinovs, Alexander N. Medvedev, Sharif E. Guseynov
Transport and Telecommunication (ISSN: 1407-6179), Vol. 17, Issue 1, pp. 60-72 (2016)
DOI: 10.1515/ttj-2016-0007
Keywords: marine cargo transportation; mathematical modelling; multicriteria optimization; Pareto efficient solution; goal attainment method; regularized solution
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Economic Viability of Electric Public Busses: Regional Perspective
Aigars Laizāns, Igors Graurs, Aivars Rubenis, George Utehin
Procedia Engineering (ISSN: 1877-7058), Vol. 134, pp. 316-321 (2016)
DOI: 10.1016/j.proeng.2016.01.013
Keywords: electric bus, TCO, public transportation system
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Heuristic Based Decision Support System for Choice of Alternative Routes in the Large-Scale Transportation Transit System on the Base of Petri Net Model
Igor Kabashkin
Procedia Engineering (ISSN: 1877-7058), Vol. 134, pp. 359-364 (2016)
DOI: 10.1016/j.proeng.2016.01.020
Keywords: decision support system, transport, modelling
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From Transit Systems to Models: Purpose of Modelling
Markus Friedrich, Fabien Leurent, Irina Jackiva, Valentina Fini, Sebastián Raveau
In book: Modelling Public Transport Passenger Flows in the Era of Intelligent Transport Systems. Editors: Gentile, Guido, Noekel, Klaus. (Eds.). (ISBN: 978-3-319-25080-9)
DOI: 10.1007/978-3-319-25082-3_4
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Competence and Capacity-Building Requirements in Transport and Logistics Market
Darius Bazaras, Kristina Čižiūnienė, Ramūnas Palšaitis, Igor Kabashkin
Transport and Telecommunication (ISSN: 1407-6179), Vol. 17, Issue 1, pp. 1-8 (2016)
DOI: 10.1515/ttj-2016-0001
Keywords: logistics competence, education, problems of training process
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ALLIANCE kick-off meeting
The kick-off meeting of the project ALLIANCE-Enhancing excellence and innovation capacity in sustainable transport interchanges, took place in Riga, Latvia on the 26th and 27th of January, 2016.
ALLIANCE started!
A new project on sustainable transport interchanges commenced on January 1st 2016, financed by the European Union under the HORIZON 2020 Research and Innovation Programme.