TY - JOUR
AU1 - Wang, Yongxue
AU2 - Xia, Kaiwen
AU3 - Yang, Yanxiong
AU4 - Xie, Wu
AU5 - Miao, Qunfeng
AU6 - Liu, Tao
AB - 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.
TI - Emergency Vehicle Intelligent Distribution System
JF - Journal of Physics: Conference Series
DO - 10.1088/1742-6596/2333/1/012001
DA - 2022-08-01
UR - https://www.deepdyve.com/lp/iop-publishing/emergency-vehicle-intelligent-distribution-system-Z2o0YScqjt
VL - 2333
IS - 1
DP - DeepDyve
ER -