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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2019  >  19(1): 127-135
JIANG Yu, WANG Huan, FAN Wei-guo, CHEN Li-li, CAI Meng-ting. Spatio-temporal cooperative optimization model of surface aircraft taxiing[J]. Journal of Traffic and Transportation Engineering, 2019, 19(1): 127-135. doi: 10.19818/j.cnki.1671-1637.2019.01.013
Citation: JIANG Yu, WANG Huan, FAN Wei-guo, CHEN Li-li, CAI Meng-ting. Spatio-temporal cooperative optimization model of surface aircraft taxiing[J]. Journal of Traffic and Transportation Engineering, 2019, 19(1): 127-135. doi: 10.19818/j.cnki.1671-1637.2019.01.013
shu

Spatio-temporal cooperative optimization model of surface aircraft taxiing

doi: 10.19818/j.cnki.1671-1637.2019.01.013
  • 1.

    College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China

  • 2.

    School of Intelligent Agriculture, Suzhou Polytechnic Institute of Agriculture, Suzhou 215008, Jiangsu, China

More Information
  • Author Bio:

    JIANG Yu(1975-), female, associate professor, PhD, jiangyu07@nuaa.edu.cn

  • Received Date: 2018-09-12
  • Publish Date: 2019-02-25
    Abstract
  • The taxiing schedule problem of surface aircraft at the airport was studied by introducing a bi-level programming method. The impacts of taxiing cost and conflict on the operation efficiency and safety of surface aircraft were considered. The spatio-temporal cooperative optimization model of surface aircraft taxiing was constructed by taking the pushout delay time and aircraft taxiing path as decision variables, and the minimum total taxiing distance of surface aircraft without conflict in the taxiway system as objective functions. According to the characteristics of aircraft taxiway schedule problem, a bi-level programming algorithm suitable for the aircraft taxiing spatio-temporal collaborative optimization model was designed to reduce the taxiing distance and waiting time of aircraft. In order to verify the validity of the model and algorithm, the result of the first-come-first-served scheduling plan was compared, and the impacts of waiting time and taxiing distance on the efficiency of surface aircraft were analyzed. Analysis result shows that compared with the first-come-first-serve scheme, the spatio-temporal cooperative optimization model can ensure zero-collision during the aircraft taxiing, and the total taxiing distance of 16 aircrafts reduces from 40 690 m to 37 700 m with a reduction of 8%. The average running time of aircraft is 254 s, which shows that the overall operating efficiency of taxiway system increases. Under the condition that the replication groups number is 100 and the mutation probability is 0.4, the optimal solution of spatio-temporal cooperative optimization model can be obtained within 412 s, and the model has significant efficiency and convergence. It can be seen that on the premise of guaranteeing the safety of aircraft taxiing, the spatio-temporal collaborative optimization model of surface aircraft can effectively improve the efficiency of aircraft taxiing scheduling, reduce the aircraft operation cost, and provide the decision support for the busy airport taxiway scheduling.

     

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