Optimization Study On Operation Plan Of Airport Automated People Mover

In order to meet the increasing needs of air passengers,meet the requirements of constantly improving service level and ensure the rapid connection between airport facilities,more and more large airports have begun to build airport Automatic PeopleMover to solve the problem of passengers' transportation within the airport So far,there are few APM applied in China's airports,but it has become the focus of current airport's construction and the trend of future airport's development,as well as the research hotspot of many scholars.Based on this background,this paper studies the optimization of the operation plan of the airport APM from the perspective of transportation organization.First of all,this paper analyzed the basic characteristics of airport APM and put forward the operation planning method of the airport APM.Secondly,the paper established the optimization model of airport APM operation plan and designed genetic algorithm to solve the model.Finally,the paper took Beijing capital international airport APM line as the research object for empirical research to verify the model and algorithm.The main work and conclusions of this paper are as follows:(1)Based on the definition of airport APM,this paper introduced the basic characteristics of airport APM from two aspects:classification and configuration.This paper analyzed the difference between APM and other modes of transportation in airport,the difference between APM and urban rail transportation.And deeply analyzed conditions for transport organization of airport APM.(2)This paper discussed the characteristics of APM passenger flow in terms of time,period and direction distribution,analyzed the influencing factors of APM capacity,put orward three transportation organization methods of APM:distinguishing train cars, ividing operation time and grouping train flexible,and put forward the framework of irport APM operation plan.(3)The paper put forward the airport APM operation plan optimization model.This odel takes the shortest waiting time of passengers and the minimum running cost of ehicles as the objective function.And it considers the constraints of train operation,train capacity and the maximum number of train marshalling,etc.,so as to obtain the optimal departure time and marshalling number of the airport APM in different operating periods.In this paper,a genetic algorithm adapted to the model is designed to solve he problem quickly.(4)Based on Beijing capital international airport APM,an empirical study was carried out.This paper first analyzed and processed the passenger flow data.Then the paper divided the whole day into different operation period through ordered clustering algorithm.And finally,the paper optimized and analyzed the APM line operation plan of Beijing capital airport APM based on the GA.The calculation results confirm the effectiveness of the model and algorithm.