时变路网下机场接驳车辆-用户共享路径优化
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U491

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湖南省自然科学基金资助项目(2019JJ40311)


Airport feeder vehicle-user shared path optimization under time-varying network
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    摘要:

    采用时空集聚网络表征动态交通路网,运用离散时间阻抗值构建时变路网。基于机场接驳预排班,考虑 原有预定用户需求、航班时间、车辆绕行时间及资源限制等约束,建立了时变路网的共享式机场接驳车辆-用户选 择模型。根据约束规划和分枝定界算法,设计了其求解算法,对实时新增用户需求进行快速判断,实现机场接驳 运输系统中有限资源的共享,提高了接驳效率。计算结果表明:该模型和算法能处理机场接驳需求响应系统中实 时新增用户需求的动态车辆路径优化,具有合理性与有效性。

    Abstract:

    A shared airport feeder vehicle-user selected model for time-varying network is established in this paper, which the space-time aggregation network is used to characterize the dynamic traffic road network and the time-varying network is constructed by the discrete time impedance. Based on the per-scheduling of airport feeder, the shared airport feeder vehicle-user selection model is established considering the constraints, such as the original scheduled user demand, flight time, vehicle detour time and resource limitation. According to the constrained programme and the branch-and -bound algorithm, a solution algorithm is proposed to quickly judge the demands of new users in real time, to realize the sharing of limited resources in the airport shuttle transportation system and to improve the feeder efficiency. The results show that the model and algorithm are rational and effective for solving the real-time new user demand in the airport feeder demand response system.

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欧阳瑞祥,周和平,刘静波,等.时变路网下机场接驳车辆-用户共享路径优化[J].交通科学与工程,2020,36(3):88-93.
OUYANG Rui-xiang, ZHOU He-ping, LIU Jing-bo, et al. Airport feeder vehicle-user shared path optimization under time-varying network[J]. Journal of Transport Science and Engineering,2020,36(3):88-93.

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  • 在线发布日期: 2022-06-09
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