Volume 40 Issue 5
Nov.  2022
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ZHANG Wanheng, CHONG Xiaolei, LIU Guisong, LEI Jichao, HUANG Xuelin. A Location Optimization Model for Rapid Exit Taxiway of Military Airports Based on Utilization Rate and Runway Occupancy Time[J]. Journal of Transport Information and Safety, 2022, 40(5): 120-128. doi: 10.3963/j.jssn.1674-4861.2022.05.013
Citation: ZHANG Wanheng, CHONG Xiaolei, LIU Guisong, LEI Jichao, HUANG Xuelin. A Location Optimization Model for Rapid Exit Taxiway of Military Airports Based on Utilization Rate and Runway Occupancy Time[J]. Journal of Transport Information and Safety, 2022, 40(5): 120-128. doi: 10.3963/j.jssn.1674-4861.2022.05.013

A Location Optimization Model for Rapid Exit Taxiway of Military Airports Based on Utilization Rate and Runway Occupancy Time

doi: 10.3963/j.jssn.1674-4861.2022.05.013
  • Received Date: 2022-03-29
    Available Online: 2022-12-05
  • Current location models for designing rapid exit taxiways (RETs) mostly use the minimum runway occupancy time as their objective functions. These models are only applicable to civil airports, but not suitable for military airports with multiple aircrafts and multiple operation modes. In order to address this limitation, a location optimization model is developed by considering the comprehensive utilization rate (CUR) of RETs and comprehensive runway occupancy time (CROT). This paper uses a military airport with four types of aircraft and two different types of annual sortie ratios as the case study to prove the effectiveness of the proposed model. According to the probability density function of the landing distance required by aircrafts, the CUR is estimated for different RETs. At the same time, the CROT is estimated by a greedy algorithm. In addition, when the CUR is greater than 90% and the CROT is the minimum, the number and location of the rapid exit taxiways are determined. Then, this paper further analyzes the effect of different annual sortie ratios on the location of the rapid exit taxiway. Study results show that the new location optimization model has a better performance under the two types of annual sortie ratios. Finally, compared with the two traditional location models that only consider the utilization rate or the minimum runway occupancy time as design parameter, the proposed optimization model reduces the runway occupancy time by 18.42 s and 34.82 s, and enhances the runway efficiency by 34.2% and 40.6% respectively.

     

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