Volume 24 Issue 3
Jun.  2024
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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2024  >  24(3): 251-265
BAO Dan-wen, CHEN Zhuo, YAO Xin-yu, ZHOU Jia-yi. Pro-active real-time scheduling approach of apron vehicles based on mixed strategy[J]. Journal of Traffic and Transportation Engineering, 2024, 24(3): 251-265. doi: 10.19818/j.cnki.1671-1637.2024.03.018
Citation: BAO Dan-wen, CHEN Zhuo, YAO Xin-yu, ZHOU Jia-yi. Pro-active real-time scheduling approach of apron vehicles based on mixed strategy[J]. Journal of Traffic and Transportation Engineering, 2024, 24(3): 251-265. doi: 10.19818/j.cnki.1671-1637.2024.03.018
shu

Pro-active real-time scheduling approach of apron vehicles based on mixed strategy

doi: 10.19818/j.cnki.1671-1637.2024.03.018

  • College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, Jiangsu, China

Funds:

National Natural Science Foundation of China U2033203

More Information
  • Author Bio:

    BAO Dan-wen(1982-), male, associate professor, PhD, baodanwen@nuaa.edu.cn

  • Received Date: 2023-12-25
    Available Online: 2024-07-18
  • Publish Date: 2024-06-30
    Abstract
  • To address the scheduling perturbation problem of apron vehicles caused by uncertain events, a pro-active real-time scheduling approach of apron vehicles based on a mixed strategy was proposed. A flexible operation mechanism considering apron partitioning was designed to allow vehicles to adaptively adjust their parking areas. A mixed-integer programming model was established to minimize the total response time of flight support requests and the total travel distance of apron vehicles. The service cost was considered from both the temporal and spatial dimensions, and the spatio-temporal service radius indicator of vehicles was introduced. A flexible waiting strategy and a dynamic relocation strategy based on the future request information were designed. The quality of flight support service was enhanced by these pro-active scheduling strategies, and the operational cost of service vehicles was reduced. An empirical study was conducted at Beijing Capital International Airport. Research results show that compared to traditional scheduling modes, the flexible operation mechanism can effectively improve the vehicle operation efficiency and reduce the turnaround distance of idle vehicles. The total request response time and total vehicle travel distance decrease by 37.0% and 36.8%, respectively. The flexible waiting strategy is suitable for peak periods with dense flight landings and takeoffs. The total vehicle travel distance reduces by 11.6%. The dynamic relocation strategy is applicable to apron areas with broad coverage. The total request response time reduces by 17.8%, while generating higher relocation costs and increasing the total vehicle travel distance by 12.5%. Therefore, for busy large hub airports, adopting a mixed strategy can effectively balance the quality of flight support service and the operational cost of service vehicles.

     

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