Capacity Impacts and Optimal Geometry of Automated Cars’ Surface Parking Facilities
The impact of Automated Vehicles (AVs) on urban geography has been widely speculated, though there is little quantitative evidence in the literature to establish the magnitude of such effects. To quantify the impact of the greater precision of automated driving on the spatial efficiency of off-stree...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2018/6908717 |
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| _version_ | 1850104957959667712 |
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| author | You Kong Scott Le Vine Xiaobo Liu |
| author_facet | You Kong Scott Le Vine Xiaobo Liu |
| author_sort | You Kong |
| collection | DOAJ |
| description | The impact of Automated Vehicles (AVs) on urban geography has been widely speculated, though there is little quantitative evidence in the literature to establish the magnitude of such effects. To quantify the impact of the greater precision of automated driving on the spatial efficiency of off-street parking facilities, we develop a mixed integer nonlinear model (solved via a branch-and-cut approach) and present comparisons against industry-standard requirements for human-driving operation. We demonstrate that gains on the order of 40–50% in spatial efficiency (parking spaces per unit area) are in principle achievable while ensuring that each parked vehicle is independently accessible. We further show that the large majority of these efficiency gains can be obtained under current automotive engineering practice in which only the front two wheels pivot. There is a need for standardized methods that take the parking supply of a city as an input and calculate both the aggregate (citywide) efficiency impacts of automated driving and the spatial distribution of the effects. This study is intended as an initial step towards this objective. |
| format | Article |
| id | doaj-art-40baf9486d694cdeab7714b0b2b6b322 |
| institution | DOAJ |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-40baf9486d694cdeab7714b0b2b6b3222025-08-20T02:39:13ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/69087176908717Capacity Impacts and Optimal Geometry of Automated Cars’ Surface Parking FacilitiesYou Kong0Scott Le Vine1Xiaobo Liu2School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, ChinaSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu, ChinaSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu, ChinaThe impact of Automated Vehicles (AVs) on urban geography has been widely speculated, though there is little quantitative evidence in the literature to establish the magnitude of such effects. To quantify the impact of the greater precision of automated driving on the spatial efficiency of off-street parking facilities, we develop a mixed integer nonlinear model (solved via a branch-and-cut approach) and present comparisons against industry-standard requirements for human-driving operation. We demonstrate that gains on the order of 40–50% in spatial efficiency (parking spaces per unit area) are in principle achievable while ensuring that each parked vehicle is independently accessible. We further show that the large majority of these efficiency gains can be obtained under current automotive engineering practice in which only the front two wheels pivot. There is a need for standardized methods that take the parking supply of a city as an input and calculate both the aggregate (citywide) efficiency impacts of automated driving and the spatial distribution of the effects. This study is intended as an initial step towards this objective.http://dx.doi.org/10.1155/2018/6908717 |
| spellingShingle | You Kong Scott Le Vine Xiaobo Liu Capacity Impacts and Optimal Geometry of Automated Cars’ Surface Parking Facilities Journal of Advanced Transportation |
| title | Capacity Impacts and Optimal Geometry of Automated Cars’ Surface Parking Facilities |
| title_full | Capacity Impacts and Optimal Geometry of Automated Cars’ Surface Parking Facilities |
| title_fullStr | Capacity Impacts and Optimal Geometry of Automated Cars’ Surface Parking Facilities |
| title_full_unstemmed | Capacity Impacts and Optimal Geometry of Automated Cars’ Surface Parking Facilities |
| title_short | Capacity Impacts and Optimal Geometry of Automated Cars’ Surface Parking Facilities |
| title_sort | capacity impacts and optimal geometry of automated cars surface parking facilities |
| url | http://dx.doi.org/10.1155/2018/6908717 |
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