Methods to Estimate Advanced Driver Assistance System Penetration Rates in the United States
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866911975105101824 |
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| author | Goodall, Noah |
| author_facet | Goodall, Noah |
| contents | Advanced driver assistance systems (ADAS) are increasingly prevalent in the vehicle fleet, significantly impacting safety and capacity. Transportation agencies struggle to plan for these effects as ADAS availability is not tracked in vehicle registration databases. This paper examines methods to leverage existing public reports and databases to estimate the proportion of vehicles equipped with or utilizing Levels 1 and 2 ADAS technologies in the United States. Findings indicate that in 2022, between 8% and 25% of vehicles were equipped with various ADAS features, though actual usage rates were lower due to driver deactivation. The study proposes strategies to enhance estimates, including analyzing crash data, expanding event data recorder capabilities, conducting naturalistic driving studies, and collaborating with manufacturers to determine installation rates. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_00819 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Methods to Estimate Advanced Driver Assistance System Penetration Rates in the United States Goodall, Noah Computers and Society Advanced driver assistance systems (ADAS) are increasingly prevalent in the vehicle fleet, significantly impacting safety and capacity. Transportation agencies struggle to plan for these effects as ADAS availability is not tracked in vehicle registration databases. This paper examines methods to leverage existing public reports and databases to estimate the proportion of vehicles equipped with or utilizing Levels 1 and 2 ADAS technologies in the United States. Findings indicate that in 2022, between 8% and 25% of vehicles were equipped with various ADAS features, though actual usage rates were lower due to driver deactivation. The study proposes strategies to enhance estimates, including analyzing crash data, expanding event data recorder capabilities, conducting naturalistic driving studies, and collaborating with manufacturers to determine installation rates. |
| title | Methods to Estimate Advanced Driver Assistance System Penetration Rates in the United States |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2408.00819 |