考虑行李的多格子元胞自动机登机模型

Multi-grid cellular automata boarding model considering carried baggages

为了精确描述旅客登机过程,分析了经典的旅客登机模型,考虑了旅客携带行李占用过道空间与步行速度,刻画了2种新的过道干扰:速度干扰和入座干扰,建立了多格子元胞自动机登机模型,根据旅客携带行李数量,提出了多行李优先登机策略。分析结果表明:当客座率为100%时,新模型登机时间为1 455s,干扰次数为6 720,经典模型登机时间为1 244s,干扰次数为5 412,相比于经典登机模型,新模型模拟了机舱内旅客运动的复杂情况,元胞尺寸增大,旅客间相互作用增强,因此,登机时间较长,过道干扰较大,比较符合实际旅客登机行为;当客座率为100%时,采用多行李优先登机策略的登机时间为1 303s,相比随机登机策略减少了150s,节省登机时间10.3%,过道干扰次数为5 686,相比随机策略减少了808次,因此,采用多行李优先登机策略能有效地减小过道干扰,提高登机效率。

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,namely10.3%,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.