Emergency Vehicle Intelligent Distribution System
In this study, we developed a vehicle allocation model that can meet the requirements and cost best, the data related to the number of calls in each zone, and the variability required to respond to different types of calls. First, several indicators are extracted to quantify the advantages of statio...
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| Veröffentlicht in: | Journal of physics. Conference series 2022-08, Vol.2333 (1), p.12001 |
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| creator | Wang, Yongxue Xia, Kaiwen Yang, Yanxiong Xie, Wu Miao, Qunfeng Liu, Tao |
| description | In this study, we developed a vehicle allocation model that can meet the requirements and cost best, the data related to the number of calls in each zone, and the variability required to respond to different types of calls. First, several indicators are extracted to quantify the advantages of station construction in each zone, and the hierarchical analysis method and TOPSIS are used to score each zone, and then select the stations that need to be built according to the score. Subsequently, according to the call requirements of each zone, its distance from the site, the amount of resources owned, etc, we develop a vehicle allocation model based on integer programming. |
| doi_str_mv | 10.1088/1742-6596/2333/1/012001 |
| format | Article |
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| source | Institute of Physics Open Access Journal Titles; EZB-FREE-00999 freely available EZB journals; IOPscience extra; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry |
| subjects | Emergency vehicles Integer programming manhattan distance Physics planning model Topsis vehicle schematization |
| title | Emergency Vehicle Intelligent Distribution System |
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