Digital Infrastructure Quality Assessment System Methodology for Connected and Automated Vehicles
The rapid integration of Connected and Automated Vehicles (CAVs) into modern transportation systems necessitates a robust and systematic approach to assess the quality of the underlying digital infrastructure. In the presented work, we propose a methodology and evaluation of framework that can be us...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-09-01
|
| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/18/3886 |
| _version_ | 1797580436274151424 |
|---|---|
| author | Boris Cucor Tibor Petrov Patrik Kamencay Marcel Simeonov Milan Dado |
| author_facet | Boris Cucor Tibor Petrov Patrik Kamencay Marcel Simeonov Milan Dado |
| author_sort | Boris Cucor |
| collection | DOAJ |
| description | The rapid integration of Connected and Automated Vehicles (CAVs) into modern transportation systems necessitates a robust and systematic approach to assess the quality of the underlying digital infrastructure. In the presented work, we propose a methodology and evaluation of framework that can be used to assess digital infrastructure segments based on their readiness for the deployment of CAVs. The methodology encompasses a comprehensive framework that collects, processes, and evaluates diverse data sources, including real-time traffic, communication, and environmental data. The proposed framework is developed based on experimental data and provides a systematic approach to assess infrastructure readiness for CAVs. The proposed methodology is applied in a system for detecting the readiness status of digital infrastructure from a Cooperative, Connected, and Automated Mobility (CCAM) perspective. The system can determine the percentage of non-compliance of technical service requirements in terms of latency, bandwidth, and localization accuracy. Thanks to this, we can determine in advance in which state the current digital infrastructure is and which services can be currently operated, and thus locate the segments of the route in which the telecommunication systems need to be supported. |
| first_indexed | 2024-03-10T22:49:59Z |
| format | Article |
| id | doaj.art-22bb364e5fa44da98780b0ca6fb9f0b5 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T22:49:59Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-22bb364e5fa44da98780b0ca6fb9f0b52023-11-19T10:22:45ZengMDPI AGElectronics2079-92922023-09-011218388610.3390/electronics12183886Digital Infrastructure Quality Assessment System Methodology for Connected and Automated VehiclesBoris Cucor0Tibor Petrov1Patrik Kamencay2Marcel Simeonov3Milan Dado4Faculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, SlovakiaDepartment of International Research Projects—ERAdiate+, University of Zilina, 010 26 Zilina, SlovakiaFaculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, SlovakiaFaculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, SlovakiaFaculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, SlovakiaThe rapid integration of Connected and Automated Vehicles (CAVs) into modern transportation systems necessitates a robust and systematic approach to assess the quality of the underlying digital infrastructure. In the presented work, we propose a methodology and evaluation of framework that can be used to assess digital infrastructure segments based on their readiness for the deployment of CAVs. The methodology encompasses a comprehensive framework that collects, processes, and evaluates diverse data sources, including real-time traffic, communication, and environmental data. The proposed framework is developed based on experimental data and provides a systematic approach to assess infrastructure readiness for CAVs. The proposed methodology is applied in a system for detecting the readiness status of digital infrastructure from a Cooperative, Connected, and Automated Mobility (CCAM) perspective. The system can determine the percentage of non-compliance of technical service requirements in terms of latency, bandwidth, and localization accuracy. Thanks to this, we can determine in advance in which state the current digital infrastructure is and which services can be currently operated, and thus locate the segments of the route in which the telecommunication systems need to be supported.https://www.mdpi.com/2079-9292/12/18/3886connected and automated vehicles5GCCAM services5G requirementsreadiness assessmentvehicular communication |
| spellingShingle | Boris Cucor Tibor Petrov Patrik Kamencay Marcel Simeonov Milan Dado Digital Infrastructure Quality Assessment System Methodology for Connected and Automated Vehicles Electronics connected and automated vehicles 5G CCAM services 5G requirements readiness assessment vehicular communication |
| title | Digital Infrastructure Quality Assessment System Methodology for Connected and Automated Vehicles |
| title_full | Digital Infrastructure Quality Assessment System Methodology for Connected and Automated Vehicles |
| title_fullStr | Digital Infrastructure Quality Assessment System Methodology for Connected and Automated Vehicles |
| title_full_unstemmed | Digital Infrastructure Quality Assessment System Methodology for Connected and Automated Vehicles |
| title_short | Digital Infrastructure Quality Assessment System Methodology for Connected and Automated Vehicles |
| title_sort | digital infrastructure quality assessment system methodology for connected and automated vehicles |
| topic | connected and automated vehicles 5G CCAM services 5G requirements readiness assessment vehicular communication |
| url | https://www.mdpi.com/2079-9292/12/18/3886 |
| work_keys_str_mv | AT boriscucor digitalinfrastructurequalityassessmentsystemmethodologyforconnectedandautomatedvehicles AT tiborpetrov digitalinfrastructurequalityassessmentsystemmethodologyforconnectedandautomatedvehicles AT patrikkamencay digitalinfrastructurequalityassessmentsystemmethodologyforconnectedandautomatedvehicles AT marcelsimeonov digitalinfrastructurequalityassessmentsystemmethodologyforconnectedandautomatedvehicles AT milandado digitalinfrastructurequalityassessmentsystemmethodologyforconnectedandautomatedvehicles |