Optimizarea generării de itinerarii pentru ghizi turistici autonomi prin integrarea datelor în timp real în algoritmi genetici
Research in the field of autonomous vehicles has made good progress in the last years, but mass adoption is unlikely to happen very soon due to, in most part, important ethical and security concerns. The authors consider that niche uses of autonomous vehicles are more likely to be researched and dev...
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| Format: | Article |
| Language: | English |
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ICI Publishing House
2024-12-01
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| Series: | Revista Română de Informatică și Automatică |
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| Online Access: | https://rria.ici.ro/documents/1234/art._9_Sandu_Dumitriu_Susnea.pdf |
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| _version_ | 1832593938823774208 |
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| author | Cristian SANDU Luminița DUMITRIU Ioan ȘUȘNEA |
| author_facet | Cristian SANDU Luminița DUMITRIU Ioan ȘUȘNEA |
| author_sort | Cristian SANDU |
| collection | DOAJ |
| description | Research in the field of autonomous vehicles has made good progress in the last years, but mass adoption is unlikely to happen very soon due to, in most part, important ethical and security concerns. The authors consider that niche uses of autonomous vehicles are more likely to be researched and developed, since they can substantially make an immediate difference in specific applications. In this paper we analyse and propose a novel genetic algorithm-based dynamic itinerary generation mechanism for use in autonomous tour guides, with the goal of achieving the highest amount of itinerary point visits in the given timeframe. It does that by taking into account the available time and the tour points that are defined as most important by the tourist, through a ranking system and by integrating real time data, such as traffic conditions. By autonomous tour guide we refer to any vehicle capable of autonomously carrying a tourist or group of tourists. The algorithm proves to be reliable and fast enough to allow for dynamic reconfiguration of the itinerary. |
| format | Article |
| id | doaj-art-8088b96ba3ec4a1aa26e1cca264602b6 |
| institution | Kabale University |
| issn | 1220-1758 1841-4303 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | ICI Publishing House |
| record_format | Article |
| series | Revista Română de Informatică și Automatică |
| spelling | doaj-art-8088b96ba3ec4a1aa26e1cca264602b62025-01-20T08:13:07ZengICI Publishing HouseRevista Română de Informatică și Automatică1220-17581841-43032024-12-0134411512610.33436/v34i4y202409Optimizarea generării de itinerarii pentru ghizi turistici autonomi prin integrarea datelor în timp real în algoritmi geneticiCristian SANDU0Luminița DUMITRIU1Ioan ȘUȘNEA 2Faculty of Automation, Computers, Electrical and Electronic Engineering, Computer Science Department, “Dunãrea de Jos” University of Galați, Romania Faculty of Automation, Computers, Electrical and Electronic Engineering, Computer Science Department, “Dunãrea de Jos” University of Galați, Romania Faculty of Automation, Computers, Electrical and Electronic Engineering, Computer Science Department, “Dunãrea de Jos” University of Galați, Romania Research in the field of autonomous vehicles has made good progress in the last years, but mass adoption is unlikely to happen very soon due to, in most part, important ethical and security concerns. The authors consider that niche uses of autonomous vehicles are more likely to be researched and developed, since they can substantially make an immediate difference in specific applications. In this paper we analyse and propose a novel genetic algorithm-based dynamic itinerary generation mechanism for use in autonomous tour guides, with the goal of achieving the highest amount of itinerary point visits in the given timeframe. It does that by taking into account the available time and the tour points that are defined as most important by the tourist, through a ranking system and by integrating real time data, such as traffic conditions. By autonomous tour guide we refer to any vehicle capable of autonomously carrying a tourist or group of tourists. The algorithm proves to be reliable and fast enough to allow for dynamic reconfiguration of the itinerary.https://rria.ici.ro/documents/1234/art._9_Sandu_Dumitriu_Susnea.pdfgenetic algorithmsautonomous tour guidesautonomous vehiclessmart tourismroute planningartificial intelligence |
| spellingShingle | Cristian SANDU Luminița DUMITRIU Ioan ȘUȘNEA Optimizarea generării de itinerarii pentru ghizi turistici autonomi prin integrarea datelor în timp real în algoritmi genetici Revista Română de Informatică și Automatică genetic algorithms autonomous tour guides autonomous vehicles smart tourism route planning artificial intelligence |
| title | Optimizarea generării de itinerarii pentru ghizi turistici autonomi prin integrarea datelor în timp real în algoritmi genetici |
| title_full | Optimizarea generării de itinerarii pentru ghizi turistici autonomi prin integrarea datelor în timp real în algoritmi genetici |
| title_fullStr | Optimizarea generării de itinerarii pentru ghizi turistici autonomi prin integrarea datelor în timp real în algoritmi genetici |
| title_full_unstemmed | Optimizarea generării de itinerarii pentru ghizi turistici autonomi prin integrarea datelor în timp real în algoritmi genetici |
| title_short | Optimizarea generării de itinerarii pentru ghizi turistici autonomi prin integrarea datelor în timp real în algoritmi genetici |
| title_sort | optimizarea generarii de itinerarii pentru ghizi turistici autonomi prin integrarea datelor in timp real in algoritmi genetici |
| topic | genetic algorithms autonomous tour guides autonomous vehicles smart tourism route planning artificial intelligence |
| url | https://rria.ici.ro/documents/1234/art._9_Sandu_Dumitriu_Susnea.pdf |
| work_keys_str_mv | AT cristiansandu optimizareagenerariideitinerariipentrughizituristiciautonomiprinintegrareadatelorintimprealinalgoritmigenetici AT luminitadumitriu optimizareagenerariideitinerariipentrughizituristiciautonomiprinintegrareadatelorintimprealinalgoritmigenetici AT ioansusnea optimizareagenerariideitinerariipentrughizituristiciautonomiprinintegrareadatelorintimprealinalgoritmigenetici |