Traffic Prediction Based on Online Vehicle Position Information for Simulation, Validation and Controller Resource Allocation Purposes
In the context of the dynamic transportation system, advancements in modern technological elements have facilitated the real-time, online transmission of vehicle positional data across numerous transport subsectors. Such data can be made accessible in a format that underpins the validity of simulati...
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MDPI AG
2024-11-01
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| Series: | Engineering Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4591/79/1/26 |
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| author | Rebeka Anna Jáger Géza Szabó |
| author_facet | Rebeka Anna Jáger Géza Szabó |
| author_sort | Rebeka Anna Jáger |
| collection | DOAJ |
| description | In the context of the dynamic transportation system, advancements in modern technological elements have facilitated the real-time, online transmission of vehicle positional data across numerous transport subsectors. Such data can be made accessible in a format that underpins the validity of simulations aimed at accurately representing real-world processes. In response to the prevailing trends of automation within air traffic control, there is an increasing imperative to develop a testing environment that allows for the simulation of automated system operations. This encompasses not only the examination of conflict resolution algorithms but also the exploration of human–machine collaboration. While archival traffic data can be readily obtained, they primarily capture the current functioning of the transportation system as a result of past control processes. Therefore, to ensure reliable testing of automation, it is essential to generate traffic demand based on real data through estimation methodologies. |
| format | Article |
| id | doaj-art-cad9e54ec42841a98d79f2aadac67f76 |
| institution | OA Journals |
| issn | 2673-4591 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj-art-cad9e54ec42841a98d79f2aadac67f762025-08-20T02:00:41ZengMDPI AGEngineering Proceedings2673-45912024-11-017912610.3390/engproc2024079026Traffic Prediction Based on Online Vehicle Position Information for Simulation, Validation and Controller Resource Allocation PurposesRebeka Anna Jáger0Géza Szabó1Department of Control for Transportation and Vehicle Systems, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, HungaryDepartment of Control for Transportation and Vehicle Systems, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, HungaryIn the context of the dynamic transportation system, advancements in modern technological elements have facilitated the real-time, online transmission of vehicle positional data across numerous transport subsectors. Such data can be made accessible in a format that underpins the validity of simulations aimed at accurately representing real-world processes. In response to the prevailing trends of automation within air traffic control, there is an increasing imperative to develop a testing environment that allows for the simulation of automated system operations. This encompasses not only the examination of conflict resolution algorithms but also the exploration of human–machine collaboration. While archival traffic data can be readily obtained, they primarily capture the current functioning of the transportation system as a result of past control processes. Therefore, to ensure reliable testing of automation, it is essential to generate traffic demand based on real data through estimation methodologies.https://www.mdpi.com/2673-4591/79/1/26air traffic controlautomationtraffic simulationflow management |
| spellingShingle | Rebeka Anna Jáger Géza Szabó Traffic Prediction Based on Online Vehicle Position Information for Simulation, Validation and Controller Resource Allocation Purposes Engineering Proceedings air traffic control automation traffic simulation flow management |
| title | Traffic Prediction Based on Online Vehicle Position Information for Simulation, Validation and Controller Resource Allocation Purposes |
| title_full | Traffic Prediction Based on Online Vehicle Position Information for Simulation, Validation and Controller Resource Allocation Purposes |
| title_fullStr | Traffic Prediction Based on Online Vehicle Position Information for Simulation, Validation and Controller Resource Allocation Purposes |
| title_full_unstemmed | Traffic Prediction Based on Online Vehicle Position Information for Simulation, Validation and Controller Resource Allocation Purposes |
| title_short | Traffic Prediction Based on Online Vehicle Position Information for Simulation, Validation and Controller Resource Allocation Purposes |
| title_sort | traffic prediction based on online vehicle position information for simulation validation and controller resource allocation purposes |
| topic | air traffic control automation traffic simulation flow management |
| url | https://www.mdpi.com/2673-4591/79/1/26 |
| work_keys_str_mv | AT rebekaannajager trafficpredictionbasedononlinevehiclepositioninformationforsimulationvalidationandcontrollerresourceallocationpurposes AT gezaszabo trafficpredictionbasedononlinevehiclepositioninformationforsimulationvalidationandcontrollerresourceallocationpurposes |