Cost-effective route planning in local areas public transport
| dc.contributor.advisor | Kádek, Tamás | |
| dc.contributor.author | Chen, Haoquan | |
| dc.contributor.department | DE--Informatikai Kar | |
| dc.date.accessioned | 2025-06-30T14:09:03Z | |
| dc.date.available | 2025-06-30T14:09:03Z | |
| dc.date.created | 2025-04-07 | |
| dc.description.abstract | This thesis develops a public transport route planning app using AI algorithms. It helps users find not only the fastest but also the most cost-effective routes. The system is based on Taiyuan’s public transport network. It uses a multi-objective optimization method. The goal is to balance time and cost for better travel decisions. The app aims to support Taiyuan citizens in their daily commutes. | |
| dc.description.course | Programtervező informatikus | |
| dc.description.degree | BSc/BA | |
| dc.format.extent | 45 | |
| dc.identifier.uri | https://hdl.handle.net/2437/395110 | |
| dc.language.iso | en | |
| dc.rights.info | Hozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében. | |
| dc.subject | route planning | |
| dc.subject | a* algorithm | |
| dc.subject | web application | |
| dc.subject.dspace | Informatics::Computer Science | |
| dc.title | Cost-effective route planning in local areas public transport |
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