Evaluation of Autonomous Vehicle Takeover Performance in Work-Zone Environment
The advent of autonomous vehicles (AV) could revolutionize the automotive industry by significantly improving safety, efficiency, and accessibility. Despite their potential to improve traffic safety by reducing human error, their integration into existing transportation systems presents significant...
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| Format: | Article |
| Language: | English |
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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/2673-4591/79/1/59 |
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| author | Viktor Nagy Diovane Mateus da Luz Ágoston Pál Sándor Attila Borsos |
| author_facet | Viktor Nagy Diovane Mateus da Luz Ágoston Pál Sándor Attila Borsos |
| author_sort | Viktor Nagy |
| collection | DOAJ |
| description | The advent of autonomous vehicles (AV) could revolutionize the automotive industry by significantly improving safety, efficiency, and accessibility. Despite their potential to improve traffic safety by reducing human error, their integration into existing transportation systems presents significant challenges. This is particularly evident in scenarios involving takeover events, where there is a transition of control from the vehicle to the human driver. Our driving simulator study, involving 14 drivers in a work-zone environment, provides critical insights into the takeover performance of level 3 to level 5 AVs. The findings suggest that the successful integration of AVs depends on their seamless incorporation into existing systems and the readiness of drivers to adapt to this emerging technology. |
| format | Article |
| id | doaj-art-9a6578f7b02c4d6687bef26edc4da24b |
| institution | Kabale University |
| issn | 2673-4591 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj-art-9a6578f7b02c4d6687bef26edc4da24b2024-12-27T14:24:37ZengMDPI AGEngineering Proceedings2673-45912024-11-017915910.3390/engproc2024079059Evaluation of Autonomous Vehicle Takeover Performance in Work-Zone EnvironmentViktor Nagy0Diovane Mateus da Luz1Ágoston Pál Sándor2Attila Borsos3Department of Vehicle Production and Technology, Széchenyi István University, Egyetem sq 1., H9026 Győr, HungaryDepartment of Transport Infrastructure, Széchenyi István University, Egyetem sq 1., H9026 Győr, HungaryDepartment of Transport Infrastructure, Széchenyi István University, Egyetem sq 1., H9026 Győr, HungaryDepartment of Transport Infrastructure, Széchenyi István University, Egyetem sq 1., H9026 Győr, HungaryThe advent of autonomous vehicles (AV) could revolutionize the automotive industry by significantly improving safety, efficiency, and accessibility. Despite their potential to improve traffic safety by reducing human error, their integration into existing transportation systems presents significant challenges. This is particularly evident in scenarios involving takeover events, where there is a transition of control from the vehicle to the human driver. Our driving simulator study, involving 14 drivers in a work-zone environment, provides critical insights into the takeover performance of level 3 to level 5 AVs. The findings suggest that the successful integration of AVs depends on their seamless incorporation into existing systems and the readiness of drivers to adapt to this emerging technology.https://www.mdpi.com/2673-4591/79/1/59automated vehiclestakeoverdriving simulatorSAE level 3SAE level 5work zone |
| spellingShingle | Viktor Nagy Diovane Mateus da Luz Ágoston Pál Sándor Attila Borsos Evaluation of Autonomous Vehicle Takeover Performance in Work-Zone Environment Engineering Proceedings automated vehicles takeover driving simulator SAE level 3 SAE level 5 work zone |
| title | Evaluation of Autonomous Vehicle Takeover Performance in Work-Zone Environment |
| title_full | Evaluation of Autonomous Vehicle Takeover Performance in Work-Zone Environment |
| title_fullStr | Evaluation of Autonomous Vehicle Takeover Performance in Work-Zone Environment |
| title_full_unstemmed | Evaluation of Autonomous Vehicle Takeover Performance in Work-Zone Environment |
| title_short | Evaluation of Autonomous Vehicle Takeover Performance in Work-Zone Environment |
| title_sort | evaluation of autonomous vehicle takeover performance in work zone environment |
| topic | automated vehicles takeover driving simulator SAE level 3 SAE level 5 work zone |
| url | https://www.mdpi.com/2673-4591/79/1/59 |
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