Highway Readiness Assessment for SAE Levels of Automation and V2X Notification
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| Soggetti: | |
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| _version_ | 1866918520109924352 |
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| author | Italiano, Lorenzo Marino, Federico Brambilla, Mattia Megna, Giovanni Carambia, Benedetto Nicoli, Monica |
| author_facet | Italiano, Lorenzo Marino, Federico Brambilla, Mattia Megna, Giovanni Carambia, Benedetto Nicoli, Monica |
| contents | While highway automation is advancing rapidly, road operators still lack practical methods to assess the readiness of their infrastructures for supporting automated driving systems. This work proposes a quantitative Highway Readiness Index (HRI) that maps static Operational Design Domain (ODD) infrastructure conditions into measurable attributes and weights them through an expert survey to evaluate readiness across Society of Automotive Engineers (SAE) automation levels. A real corridor case study shows how HRI scores can be computed, interpreted, and used to identify infrastructure gaps that limit higher automation. Finally, we outline how these indicators can be integrated into a standardized Cooperative Intelligent Transport System (C-ITS) message, i.e., Infrastructure-to-Vehicle Information Message (IVIM), to communicate segment-level automation guidance to connected vehicles. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_25021 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Highway Readiness Assessment for SAE Levels of Automation and V2X Notification Italiano, Lorenzo Marino, Federico Brambilla, Mattia Megna, Giovanni Carambia, Benedetto Nicoli, Monica Systems and Control While highway automation is advancing rapidly, road operators still lack practical methods to assess the readiness of their infrastructures for supporting automated driving systems. This work proposes a quantitative Highway Readiness Index (HRI) that maps static Operational Design Domain (ODD) infrastructure conditions into measurable attributes and weights them through an expert survey to evaluate readiness across Society of Automotive Engineers (SAE) automation levels. A real corridor case study shows how HRI scores can be computed, interpreted, and used to identify infrastructure gaps that limit higher automation. Finally, we outline how these indicators can be integrated into a standardized Cooperative Intelligent Transport System (C-ITS) message, i.e., Infrastructure-to-Vehicle Information Message (IVIM), to communicate segment-level automation guidance to connected vehicles. |
| title | Highway Readiness Assessment for SAE Levels of Automation and V2X Notification |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2605.25021 |