Real-time route prediction of emergency vehicles
| dc.contributor.author | Arvidsson, Alfred | |
| dc.contributor.author | Hendén, Jakob | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för matematiska vetenskaper | sv |
| dc.contributor.examiner | Raum, Martin | |
| dc.contributor.supervisor | Axelson-Fisk, Marina | |
| dc.date.accessioned | 2022-06-20T06:16:30Z | |
| dc.date.available | 2022-06-20T06:16:30Z | |
| dc.date.issued | 2022 | sv |
| dc.date.submitted | 2020 | |
| dc.description.abstract | Nordic Way 3 is an EU-funded project that aims to develop software solutions for a better and safer traffic environment. One of the companies involved with Nordic Way 3 is Carmenta Automotive who, among other things, are responsible for route prediction of and preemptive warnings about approaching emergency vehicles. By predicting the routes of emergency vehicles and sending preemptive warnings to surrounding drivers this is a contribution to the goals of Nordic Way 3. In this thesis project, an algorithm for predicting which specific path is chosen by emergency vehicle drivers is developed and implemented. The current position and destination of the emergency vehicle, as well as live data regarding traffic and incidents on the roads is used as basis for the prediction. The modified A*-algorithm is tested using a set of varied realistic emergency missions, and shows promising performance. It generally predicts the most probable path together with a few feasible alternative paths. | sv |
| dc.identifier.coursecode | MVEX03 | sv |
| dc.identifier.uri | https://hdl.handle.net/20.500.12380/304785 | |
| dc.language.iso | eng | sv |
| dc.setspec.uppsok | PhysicsChemistryMaths | |
| dc.subject | route, prediction, emergency, vehicle, a-star, a*, algorithm, software | sv |
| dc.title | Real-time route prediction of emergency vehicles | sv |
| dc.type.degree | Examensarbete för masterexamen | sv |
| dc.type.uppsok | H |