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Research on airport express train schedule optimization based on demand-driven air-rail intermodal transportation
Jin He1,2, Yinzhen Li3
1School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, 730070, China. hejin@mail.lzjtu.cn.
Scientific Reports
|November 18, 2024
Summary
Optimizing Airport Express Line (AEL) train frequency enhances air-rail intermodal transport efficiency. This study developed a model to reduce travel time and unserved passengers, improving overall service quality.
Area of Science:
- Transportation Science
- Operations Research
- Logistics Management
Background:
- Airport Express Line (AEL) train frequency optimization is vital for efficient air-rail intermodal transport.
- Effective scheduling improves passenger transfer convenience and service quality, enhancing transport system competitiveness.
Purpose of the Study:
- To optimize Airport Express Line (AEL) and flight succession in air-rail intermodal transport.
- To develop a demand-driven AEL frequency optimization model minimizing total travel time and unserved passengers.
Main Methods:
- Analysis of airport flight departure and landing times to assess passenger flow demand.
- Development of a demand-driven optimization model for AEL frequency.
- Application of a simulated annealing algorithm for model solution and validation using the Lanzhou-Zhongchuan AEL.
Main Results:
- Optimized schedules reduced total passenger travel time costs by 0.93% and 3.82% considering time sensitivity and fairness.
- The optimization scheme decreased unserved passengers by 14.7%.
- Reduced the percentage of flights and trains failing occupancy constraints by 17%.
Conclusions:
- Schedule optimization effectively increases served passengers and reduces intermodal and commuter travel time.
- Provides a scientific basis for developing efficient and rational AEL schedules in air-rail intermodal transport.
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