He Jin, Li Yinzhen
School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, 730070, China.
Key Laboratory of Railway Industry on Plateau Railway Transportation Intelligent Management and Control, Lanzhou, 730070, China.
Sci Rep. 2024 Nov 18;14(1):28473. doi: 10.1038/s41598-024-77067-5.
The optimization of the train frequency of the Airport express line (AEL) is crucial for improving the efficiency of air-rail intermodal transport. It directly influences passenger transfer convenience and overall service quality, thereby bolstering the competitiveness of the transport system This study focuses on the optimization of "AEL and Flight Succession" in the context of air-rail intermodal transport. By analyzing the departure and landing time of airport flights, we assess the demand from various passenger flows and identify key factors that impact the connection between the AEL and flights. Based on these factors, we develop a demand-driven optimization model for AEL frequency, aimed at minimizing total travel time and the number of unserved passengers. A simulated annealing algorithm is employed to solve this model. The Lanzhou-Zhongchuan AEL serves as a case study for validation. The results demonstrate that the optimized schedule reduces total passenger travel time costs by 0.93% and 3.82%, respectively, while accounting for passenger time sensitivity and fairness principles, with a difference of 2.89% between these scenarios. In addition, the optimization scheme decreases the number of unserved passengers by 14.7% and reduces the percentage of flights and trains failing to meet occupancy constraints by 17%. This study illustrates that the schedule optimization strategy not only effectively increases the number of served passengers but also significantly reduces total intermodal and commuter travel time. Such findings provide a solid scientific foundation for AEL operations and management to develop a more efficient and rational train schedule in the context of air-rail intermodal transport.
机场快线列车频次的优化对于提高空铁联运效率至关重要。它直接影响旅客换乘的便利性和整体服务质量，从而增强运输系统的竞争力。本研究聚焦于空铁联运背景下的“机场快线与航班衔接”优化。通过分析机场航班的起降时间，我们评估各类客流的需求，并确定影响机场快线与航班衔接的关键因素。基于这些因素，我们建立了一个需求驱动的机场快线频次优化模型，旨在最小化总出行时间和未服务旅客数量。采用模拟退火算法求解该模型。以兰州中川机场快线为例进行验证。结果表明，优化后的时刻表分别将旅客总出行时间成本降低了0.93%和3.82%，同时考虑了旅客时间敏感性和公平原则，这两种情况下相差2.89%。此外，优化方案使未服务旅客数量减少了14.7%，并使航班和列车未达到载客限制的百分比降低了17%。本研究表明，时刻表优化策略不仅有效增加了服务旅客数量，还显著减少了联运和通勤总出行时间。这些研究结果为空铁联运背景下机场快线运营管理制定更高效合理的列车时刻表提供了坚实的科学依据。
