Volume 45 Issue 11
Nov.  2019
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Article Contents
ZHENG Lijun, HU Rong, ZHANG Junfeng, et al. Design and evaluation of green taxiing strategy for departure aircraft during peak hours[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(11): 2320-2326. doi: 10.13700/j.bh.1001-5965.2019.0124(in Chinese)
Citation: ZHENG Lijun, HU Rong, ZHANG Junfeng, et al. Design and evaluation of green taxiing strategy for departure aircraft during peak hours[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(11): 2320-2326. doi: 10.13700/j.bh.1001-5965.2019.0124(in Chinese)

Design and evaluation of green taxiing strategy for departure aircraft during peak hours

doi: 10.13700/j.bh.1001-5965.2019.0124
Funds:

National Natural Science Foundation of China 71401072

Postgraduate Innovation Base (Laboratory) Open Fund of NUAA kfjj20180706

Postgraduate Innovation Base (Laboratory) Open Fund of NUAA kfjj20180707

More Information
  • Corresponding author: HU Rong. E-mail:hoorong@nuaa.edu.cn
  • Received Date: 25 Mar 2019
  • Accepted Date: 08 Jun 2019
  • Publish Date: 20 Nov 2019
  • In order to effectively reduce the congestion delay and pollutant emissions of departure aircraft during peak hours in large hub airports, the design and evaluation of different taxiing strategies are carried out. Firstly, the calculation model of departure aircraft taxiing cost including environmental cost is established. Then, three different departure aircraft green taxiing strategies are proposed:punctual pushback, stand holding and speed optimization. Finally, targeting the minimum total taxiing cost, the genetic algorithm is used to carry out example simulation, to solve the optimal taxiing route under different strategies, and to compare and analyze the effectiveness of different taxiing strategies on congestion mitigation and emission reduction. The results show that, compared with the punctual pushback strategy, the stand holding and speed optimization strategy can reduce the total taxiing time by 5.90% and 22.49%, and has good congestion mitigation effect. In addition, the stand holding strategy has the lowest fuel consumption and emission cost, and the speed optimization strategy has the lowest pollutant emissions, so both of them have certain emission reduction effect.

     

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