Study On Dynamic Operation And Management Of Landside Traffic Flow At Hub Airport

Landside transportation carries the important function of connecting the airside of the airport with the urban area.With the continuous deepening of rail transit at hub airports,and the appearance of new modes of transportation for vehicles such as car-hailing and car-sharing,the management of traffic flow on the land side of hub airports will become increasingly complicated.Constructing a dynamic collaborative management system for this purpose is an important way to efficiently solve landside traffic problems;and the dynamic simulation of traffic flow is a key method for simulation evaluation in the system;and it also requires quantitative display airport management indicators for the dynamic management level of traffic flow.However,at present,China's research on the above aspects is still not perfect,and this article begins with the following research.Firstly,this paper analyzes the management object characteristics of airport landside traffic flow,proposes the concept of constructing airport landside traffic flow dynamic operation management system,and uses UC matrix to carry out system planning and structural model design;for the view of functional application,Anylogic simulation software is used from the micro level to build a hybrid traffic flow simulation model based on pedestrian traffic at the airport,and makes a detailed analysis of its multi-agent modeling principles,modeling processes and key technologies;then,from the macroscopic level,it constructs an evaluation of landside traffic.The management system of the flow dynamics management level was established,and a multi-level evaluation model based on combined weights was established.Finally,based on the traffic investigation and department survey data,the above simulation and evaluation model was applied to study the landside traffic flow of Tianjin Airport.The dynamic operation management situation and related initiatives for improving the management level are expected to hopefully provide some scientific theoretical basis and ideas for airport operation managers and related companies and policy makers.