交通信息与安全2023，Vol.41Issue(5)：167-175,9.DOI:10.3963/j.jssn.1674-4861.2023.05.017
考虑旅客到达准时性的城市值机移动站点动态分布模型
A Dynamic Distribution Model of Urban Mobile Stations Considering Passengers'Arrival Punctuality
摘要
Abstract
The existing distribution model for urban mobile stations(UMS)has not considered the uncertainty in the arrival times of passengers to the service stations,resulting in discrepancy between the optimization outcomes and practical scenarios.This discrepancy can cause the inability to provide services for early-arrival and delayed passen-gers.To address the detrimental impact of the time uncertainty on optimization solutions,A dynamic facility-distri-bution model based on the probability function of passengers'arrival punctuality is proposed.In response to the lay-out optimization problem of UMS,a comprehensive mathematical model and evaluation indexes for the optimiza-tion of dynamic facility distribution are proposed.A punctuality probability function with a normal distribution form is introduced to estimate the difference between passengers'actual and declared arrival times.Based on the location distribution of passengers during different service periods,the ripple-spreading algorithm and genetic algorithm are adopted to optimize the positions of service stations and to compute the optimal paths between passengers and sta-tions.Finally,based on empirical data on the road network and passengers'distribution in Tianjin,simulation experi-ments are conducted to compare the dynamic facility distribution models considering passengers'punctual arrival and passengers'arrival with probabilities.The results indicate that the optimization model considering the probabili-ty of passengers'arrival time outperform those of the model considering the passengers'punctual arrival,with a 4.31%enhancement in the evaluation indexes of the dynamic facility distribution model.Specifically,the average path length of passengers to arrival stations decreases by 0.35%,the total excess distance beyond acceptable distances for passengers decreases by 6.26%,and the total excess capacity beyond stations'service capacity decreases by 4.13%.Therefore,the proposed model effectively considers the uncertainty in arrival times and optimizes facility lay-out based on passengers'actual arrival times more efficiently.In practice,the proposed model has the feature of high portability and can be applied to many other dynamic problems,such as dynamic location choice of logistics services.关键词
智能交通/城市候机楼/城市值机移动服务站点/涟漪扩散算法/遗传算法/正态分布/到站时间概率Key words
intelligent transportation/city air terminal/urban mobile stations/ripple-spreading algorithm/genetic al-gorithm/normal distribution/probability of arrival time分类
交通工程引用本文复制引用
张铭霞,周航,胡小兵..考虑旅客到达准时性的城市值机移动站点动态分布模型[J].交通信息与安全,2023,41(5):167-175,9.基金项目
中央高校基本科研业务费中国民航大学专项(2000530441)资助 （2000530441）
