Multi-grid cellular automata boarding model considering carried baggages

REN Xin-hui; JIAO Yang; ZHAO Yi-fei

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REN Xin-hui, JIAO Yang, ZHAO Yi-fei. Multi-grid cellular automata boarding model considering carried baggages[J]. Journal of Traffic and Transportation Engineering, 2017, 17(4): 122-129.

Citation:

REN Xin-hui, JIAO Yang, ZHAO Yi-fei. Multi-grid cellular automata boarding model considering carried baggages[J]. Journal of Traffic and Transportation Engineering, 2017, 17(4): 122-129.

REN Xin-hui, JIAO Yang, ZHAO Yi-fei. Multi-grid cellular automata boarding model considering carried baggages[J]. Journal of Traffic and Transportation Engineering, 2017, 17(4): 122-129.

Citation:

REN Xin-hui, JIAO Yang, ZHAO Yi-fei. Multi-grid cellular automata boarding model considering carried baggages[J]. Journal of Traffic and Transportation Engineering, 2017, 17(4): 122-129.

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Multi-grid cellular automata boarding model considering carried baggages

1.
Economics and Management College, Civil Aviation University of China, Tianjin 300300, China
2.
TianJin Intelligent Tech.Institute of Casia Co., Ltd., Tianjin 300309, China
3.
College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China

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Author Bio:
REN Xin-hui(1971-), female, associate professor, +86-22-24092464, xinhui9596@sina.com
Received Date: 2017-05-23
Publish Date: 2017-08-25

Abstract

Abstract

In order to accurately describe passenger boarding process, the classic boarding model was analyzed. The luggage-occupied aisle space and movement speed of passenger were considered, two new aisle interferences were proposed, namely speed interference and entering seat interference, and a multi-grid cellular automata boarding model was built. A multi-baggage priority boarding strategy was proposed according to the numbers of passengers' baggages. Analysis result shows that when the seat occupancy is 100%, the boarding time and interference number with the new model are 1 455 sand 6 720 times, respectively, while the corresponding values with the classic model are 1 244 sand 5 412 times. Compared with the classic model, in the new model, because the complexity of passenger movement in the cabin is simulated, the cell size and the interaction between passengers increase, so the boarding time is longer, and the aisle interference is larger, which more accords with the actual boarding behavior of passenger. When the seat occupancy is 100%, the multi-baggage priority boarding strategy is compared with the random boarding strategy, the boarding time is 1 303 sand decreases by 150 s, namely 10.3%, and the aisle interference number is 5 686 times and reduces 808 times, so the newboarding strategy can effectively reduce the aisle interference and improve the boarding efficiency.
- air transportation,
- boarding strategy,
- boarding model,
- multi-grid cellular automata model,
- aisle interference,
- boarding efficiency

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References(25)

References

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