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An Integrated Multi-Objective Optimization for Dynamic Airport Shuttle Bus Location, Route Design and Departure
Ming Wei1,2, Congxin Yang1, Tao Liu3
1School of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China.
International Journal of Environmental Research and Public Health
|November 11, 2022
Summary
Airport shuttle buses (ASB) offer green transportation, reducing travel time and emissions. This study optimizes ASB routes and schedules, cutting passenger travel time by 1.21% using advanced algorithms.
Area of Science:
- Transportation Engineering
- Operations Research
- Environmental Science
Background:
- Airport shuttle buses (ASB) are crucial for sustainable
- first/last mile
- transportation, reducing private car use and emissions.
Purpose of the Study:
- Develop a multi-objective optimization model for dynamic ASB services.
- Optimize passenger travel time, waiting time, and transfer distance.
- Enhance passenger experience and promote public transport adoption.
Main Methods:
- Multi-objective mixed-integer linear programming for ASB operations.
- A two-stage heuristic approach combining NSGA-II and dynamic programming.
- Dynamic modeling considering time-varying demand and travel times.
Main Results:
- The proposed model significantly reduces total passenger travel time by 1.21%.
- Optimized routes, station selection, and departure frequencies were determined.
- Pareto-optimal solutions were efficiently obtained for complex scheduling problems.
Conclusions:
- The developed model and algorithm effectively optimize ASB services in dynamic environments.
- This approach enhances efficiency and sustainability in airport transportation.
- Demonstrated feasibility through a case study at Tianjin Airport, China.
Keywords:
Pareto-optimal solutionsairport shuttle busdeparture frequencymulti-objective mixed-integer linear programmingroute designstation selectiontime-varying demandMore Related Videos
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