Web-Application for Quantification of the Financial Cost of Environmental Damage Caused by truck traffic in the Czech Republic
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F18%3A43914748" target="_blank" >RIV/62156489:43110/18:43914748 - isvavai.cz</a>
Výsledek na webu
<a href="http://pefnet.mendelu.cz/wcd/w-rek-pefnet/pefnet2018_abstracts_web.pdf" target="_blank" >http://pefnet.mendelu.cz/wcd/w-rek-pefnet/pefnet2018_abstracts_web.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Web-Application for Quantification of the Financial Cost of Environmental Damage Caused by truck traffic in the Czech Republic
Popis výsledku v původním jazyce
This paper deals with the application of advanced IT technologies in the field of car tax prediction. The purpose of this paper is to propose an application to help vehicle owners to quantify the environmental and social cost for truck transport. The architecture of the web application is based on the component-based approach to support its extensibility and sustainability. All parts in the system are loosely coupled. The paper also focuses on the big data processing, because there is a lot of car evidence data in the Czech Republic. Java EE and Spring framework are used in the web application and a data warehouse stores the data. The final solution is deployed to IBM Bluemix cloud, which provides an increase in performance and data storage.
Název v anglickém jazyce
Web-Application for Quantification of the Financial Cost of Environmental Damage Caused by truck traffic in the Czech Republic
Popis výsledku anglicky
This paper deals with the application of advanced IT technologies in the field of car tax prediction. The purpose of this paper is to propose an application to help vehicle owners to quantify the environmental and social cost for truck transport. The architecture of the web application is based on the component-based approach to support its extensibility and sustainability. All parts in the system are loosely coupled. The paper also focuses on the big data processing, because there is a lot of car evidence data in the Czech Republic. Java EE and Spring framework are used in the web application and a data warehouse stores the data. The final solution is deployed to IBM Bluemix cloud, which provides an increase in performance and data storage.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
20202 - Communication engineering and systems
Návaznosti výsledku
Projekt
<a href="/cs/project/TL01000308" target="_blank" >TL01000308: Fiskální kvantifikace environmentálních nákladů provozu nákladních motorových vozidel v ČR</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů