| Title | Primjena informacijsko komunikacijskih tehnologija za optimizaciju rute elektroničkog vozila s ciljem povećanja njegove autonomije |
| Author | Matija Živković |
| Mentor(s) | Tonči Carić (thesis advisor)
|
| Abstract | U ovom diplomskom radu obrađen je problem optimizacije rute električnog vozila s ciljem povećanja njegove autonomije. Zbog karakteristika električnog vozila nije dostatno samo promatrati klasične prometne probleme kao što su problem pronalaska najbrže ili najkraće rute, nego je potrebno i pronaći optimalnu rutu s obzirom na trošak energije. Proučena je problematika energetskoga usmjeravanja električnih vozila s obzirom na autonomiju baterijskog punjenja u svrhu povećanja radijusa kretanja, koja imaju ograničenu autonomiju kretanja i duže vrijeme punjenja u odnosu na konvencionalna vozila. Prilikom optimizacije rute s ciljem pronalaska energetski optimalne rute nužno je koristiti podupiruće informacijskih sustave. Zbog ograničenja baterijskog punjenja potrebno je uz optimiziranje troška energije još isplanirati raspored lokacija stanica za punjenje. Za rješavanje problema optimizacije energetski optimalne rute objašnjene su modifikacije postojećih algoritama koji služi za rješavanje pronalaska najkraće rute, kao što su Dijsktrin i A* algoritam. |
| Keywords | electrical vehicles energy optimal path autonomy of electrical vehicles |
| Parallel title (English) | Application of Information and Communication Technologies for Electric Vehicle Route Optimization to Increase its Autonomy |
| Committee Members | Štefica Mrvelj (committee chairperson)
Edouard Ivanjko (committee member)
Dragan Peraković (committee member)
|
| Granter | University of Zagreb
Faculty of Transport and Traffic Sciences |
| Lower level organizational units | Independent chairs
Chair of Applied Mathematics and Statistics |
| Place | Zagreb |
| State | Croatia |
| Scientific field, discipline, subdiscipline | TECHNICAL SCIENCES
Traffic and Transport Technology
Postal and Telecommunications Traffic
|
| Study programme type | university |
| Study level | graduate |
| Study programme | Traffic and Transport; specializations in: Road Traffic and Transport, Railway Traffic and Transport, Water Traffic and Transport, Air Traffic and Transport, Postal Traffic, Information and Communication Traffic, Urban Traffic and Transport |
| Study specialization | Information and Communication Traffic |
| Academic title abbreviation | mag. ing. traff. |
| Genre | master's thesis |
| Language | Croatian |
| Defense date | 2015-09-01 |
| Parallel abstract (English) | In this final paper we have described path optimization problem of the electrical vehicle with aim towards increasing it's autonomy. Because of the characteristics of electrical vehicle we have to observe not only classical traffic problems like finding of the shortest or the fastest path but alsofinding of the energy consumption optimal path. We have studyed the matter of routing electrical vehicles in regard towards autonomy of battery charge and with aim towards increasing movement radius, because of all limits which electrical vehicles have (limited movement autonomy and longer charge time) in comparison with conventional vehicles. Because of the limitations of the battery charges, it is necessary to optimize costs of energy and to plan the locations of the recharge stations. In order to solve optimization problem of the energy optimal path, we have described modification of the existing algorithms for the shortest path, Dijkstra and A* algorithm. |
| Parallel keywords (Croatian) | električno vozilo energetski optimalna ruta autonomija električnog vozila |
| Resource type | text |
| Access condition | Open access |
| Terms of use |  |
| URN:NBN | https://urn.nsk.hr/urn:nbn:hr:119:143000 |
