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基于混合策略的机坪车辆主动式实时调度方法

包丹文 陈卓 姚馨宇 周佳怡

包丹文, 陈卓, 姚馨宇, 周佳怡. 基于混合策略的机坪车辆主动式实时调度方法[J]. 交通运输工程学报, 2024, 24(3): 251-265. doi: 10.19818/j.cnki.1671-1637.2024.03.018
引用本文: 包丹文, 陈卓, 姚馨宇, 周佳怡. 基于混合策略的机坪车辆主动式实时调度方法[J]. 交通运输工程学报, 2024, 24(3): 251-265. doi: 10.19818/j.cnki.1671-1637.2024.03.018
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

基于混合策略的机坪车辆主动式实时调度方法

doi: 10.19818/j.cnki.1671-1637.2024.03.018
基金项目: 

国家自然科学基金项目 U2033203

详细信息
    作者简介:

    包丹文(1982-),男,江苏南京人,南京航空航天大学副教授,工学博士,从事机场规划设计与管理研究

  • 中图分类号: V351

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

Funds: 

National Natural Science Foundation of China U2033203

More Information
  • 摘要: 为解决不确定性事件造成的机坪车辆调度扰动问题,提出了一种基于混合策略的机坪车辆主动式实时调度方法;设计了一种考虑机坪分区的灵活运行机制,以允许车辆自适应调整停放区域;建立了一个混合整数规划模型,旨在最小化航班保障请求总响应时间与机坪车辆总行驶距离;从时空双重维度考虑服务代价,引入车辆时空服务半径指标,设计了基于未来请求信息的灵活等待策略与动态搬迁策略;通过主动式调度策略提高航班保障服务质量,降低服务车辆运行成本,并以北京首都国际机场为实例进行了实证研究。研究结果表明:与传统调度模式相比,灵活运行机制可有效提高车辆运行效率,并缩短空闲车辆折返距离,请求总响应时间与车辆总行驶距离分别下降了37.0%和36.8%;灵活等待策略适用于航班起降密集的高峰时段,车辆总行驶距离缩短了11.6%;动态搬迁策略适用于覆盖范围较广的机坪区域,在请求总响应时间降低17.8%的同时会产生较高的搬迁成本,车辆总行驶距离将增加12.5%。由此可见,针对繁忙的大型枢纽机场,采用混合策略能够在航班保障服务质量与服务车辆运行成本间取得有效平衡。

     

  • 图  1  机坪区域拓扑网络和分区示意

    Figure  1.  Schematic of apron area topological network and zoning

    图  2  机坪车辆调度过程

    Figure  2.  Scheduling process of apron vehicle

    图  3  主动式实时调度框架

    Figure  3.  Framework of pro-active real-time scheduling

    图  4  车辆调度计划共识过程

    Figure  4.  Consensus process of vehicle scheduling plan

    图  5  不同等待策略执行过程

    Figure  5.  Execution processes of different waiting strategies

    图  6  车辆灵活等待策略实施流程

    Figure  6.  Implementation process of vehicle flexible waiting strategy

    图  7  繁忙车辆等待触发机制

    Figure  7.  Trigger mechanism of waiting for busy vehicle

    图  8  搬迁策略的执行过程

    Figure  8.  Implementation processes of relocation strategies

    图  9  车辆搬迁模式

    Figure  9.  Vehicle relocation mode

    图  10  车辆运行状态更新

    Figure  10.  Vehicle running state update

    图  11  北京首都国际机场T3航站区

    Figure  11.  Terminal area of T3 of Beijing Capital International Airport

    图  12  不同运行机制下评价指标对比

    Figure  12.  Comparison of evaluation indexes under different operating mechanisms

    图  13  请求响应时间分布

    Figure  13.  Request response time distributions

    图  14  车辆行驶距离分布

    Figure  14.  Distributions of vehicle driving distances

    表  1  机坪车辆与航班到达分布

    Table  1.   Distributions of apron vehicles and flight arrivals

    分区 P1 P2 P3 P4 P5 P6 P7
    航班数 91 102 30 26 55 47 47
    始发车辆数 2 2 1 2 2 1 2
    下载: 导出CSV

    表  2  不同实时调度方法实施效果对比

    Table  2.   Comparison of implementation effects of different real-time scheduling approaches

    实时调度方法 总请求响应时间/min 变化幅度/% 即时响应的请求数 变化数 总车辆行驶距离/km 变化幅度/%
    M1 193.7 323 291.3
    M2 200.5 3.5 323 0 266.3 -8.6
    M3(1) 197.8 2.2 329 6 257.5 -11.6
    M3(2) 159.3 -17.8 338 15 327.8 12.5
    M3(3) 181.5 -6.3 333 10 302.8 3.9
    下载: 导出CSV

    表  3  即时与各响应时间区间的请求数量

    Table  3.   Numbers of requests in real-time and each response time interval

    响应时间/s M1 占比/% M2 占比/% M3(1) 占比/% M3(2) 占比/% M3(3) 占比/%
    0 323 81.2 323 81.2 329 82.7 338 84.9 333 83.7
    (0, 60] 11 2.8 9 2.3 9 2.3 9 2.3 8 2.0
    (60, 120] 22 5.5 22 5.5 18 4.5 17 4.3 20 5.0
    (120, 180] 15 3.8 13 3.3 10 2.5 10 2.5 9 2.3
    (180, 240] 11 2.8 16 4.0 14 3.5 10 2.5 10 2.5
    (240, 300] 16 4.0 15 3.8 17 4.3 14 3.5 18 4.5
    300以上 0 0.0 0 0.0 1 0.3 0 0.0 0 0.0
    总计 398 100.0 398 100.0 398 100.0 398 100.0 398 100.0
    下载: 导出CSV

    表  4  车辆行驶距离较反应式实时调度方法的变化幅度

    Table  4.   Change ranges of vehicle driving distances compared with reactive real-time scheduling approach

    车辆顺次 M2变化幅度/% M3(1)变化幅度/% M3(2)变化幅度/% M3(3)变化幅度/%
    1 -1.3 -15.0 5.2 3.4
    2 -4.4 -11.6 2.3 7.8
    3 -13.4 -17.8 2.7 4.7
    4 -17.2 -22.4 3.8 2.3
    5 -18.6 -16.6 12.4 -3.2
    6 -14.8 -12.8 15.5 -2.7
    7 -8.3 -7.2 18.4 5.4
    8 -5.9 -5.0 17.8 6.9
    9 -7.8 -8.0 12.2 4.0
    10 -4.0 0.0 22.1 4.0
    11 4.5 8.3 32.8 13.5
    12 -6.2 -1.3 23.9 4.6
    下载: 导出CSV

    表  5  车辆行程统计数据

    Table  5.   Statistical data of vehicle trips

    调度方法 平均行程距离/m 空闲行程数 运行分区数 最大搬迁数 平均搬迁数 最远搬迁距离/m 平均搬迁距离/m
    M1 450.1 210 5.3
    M3(1) 447.7 150 3.6
    M3(2) 413.7 199 6.1 5 2.9 3 427 1 893.5
    M3(3) 425.9 153 5.2 4 2.0 3 327 1 968.2
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-12-25
  • 网络出版日期:  2024-07-18
  • 刊出日期:  2024-06-30

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