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| Auteurs principaux: | , , , |
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| Format: | Preprint |
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2024
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| Accès en ligne: | https://arxiv.org/abs/2408.11864 |
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| _version_ | 1866929468960931840 |
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| author | Jungblut, Edgar Grube, Thomas Linßen, Jochen Stolten, Detlef |
| author_facet | Jungblut, Edgar Grube, Thomas Linßen, Jochen Stolten, Detlef |
| contents | Automated driving can have a huge impact on the transport system in passenger, as well as freight applications; however, market and technological development are difficult to foresee. Therefore, a systems analysis is called for to answer the question: What is the impact of automated driving on the techno-economic performance of transport systems? It is important to quantify the potential impacts not only on a local scale and for specific use cases but for entire transport systems at large. Here, we provide an overview of the current state of automated driving, including academic research in addition to industrial development. For industrial development, we find that it will take at least until 2030-2040 for automated vehicles to be widely available for passenger transport. For freight transport on the other hand, automated vehicles might already be used within the next years at least on motorways. For academic research, we find that most studies on passenger transport consider shared automated vehicles separated from other transport modes and consider specific regions only. For freight transport we find that operational strategies and usage potentials for level 4 and 5 trucks lack alignment with real-life use cases and driving profiles. Based on this, we develop an analytical framework for future research. This includes a mode choice model for passenger transport demand calculations, a total cost of ownership model for freight trucks, transport statistics for freight flows, a microscopic traffic simulation to assess the impact of automated vehicles on traffic flow, and a road network analysis. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_11864 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Automated and Connected Driving: State-of-the-Art and Implications for Future Scenario Analysis Jungblut, Edgar Grube, Thomas Linßen, Jochen Stolten, Detlef Physics and Society Automated driving can have a huge impact on the transport system in passenger, as well as freight applications; however, market and technological development are difficult to foresee. Therefore, a systems analysis is called for to answer the question: What is the impact of automated driving on the techno-economic performance of transport systems? It is important to quantify the potential impacts not only on a local scale and for specific use cases but for entire transport systems at large. Here, we provide an overview of the current state of automated driving, including academic research in addition to industrial development. For industrial development, we find that it will take at least until 2030-2040 for automated vehicles to be widely available for passenger transport. For freight transport on the other hand, automated vehicles might already be used within the next years at least on motorways. For academic research, we find that most studies on passenger transport consider shared automated vehicles separated from other transport modes and consider specific regions only. For freight transport we find that operational strategies and usage potentials for level 4 and 5 trucks lack alignment with real-life use cases and driving profiles. Based on this, we develop an analytical framework for future research. This includes a mode choice model for passenger transport demand calculations, a total cost of ownership model for freight trucks, transport statistics for freight flows, a microscopic traffic simulation to assess the impact of automated vehicles on traffic flow, and a road network analysis. |
| title | Automated and Connected Driving: State-of-the-Art and Implications for Future Scenario Analysis |
| topic | Physics and Society |
| url | https://arxiv.org/abs/2408.11864 |