A Method Of Traffic Planning Based On Dynamic DCVS Network Model

The baggage handling system is one of the most important components of the airport.It is very im portant to establish a real-time and efficient airport baggage handling system in the face of the increasing amount of baggage transportation in the airport.The remote baggage transportation system is an integral part of the airport baggage handling syste m.The traditional remote baggage transport system usually adopts trailers and artificial combination.Many drawbacks make researchers start looking for new technologies to replace them.At present,the destination coding vehicle system is the most advance d remote baggage transportation system.The application of the system can truly realize the automatic control and operation of the airport baggage handling system,and greatly improve the overall operation efficiency of the airport baggage handling system.For different periods of time or in different periods of day,the demand for airport lines is different.But now the destination system does not consider the actual encoding car luggage flow demand,the distribution is not according to the actual flow of each period to the reasonable loading and unloading station and other resources,so in my spare time is very eas y to cause the waste of resources,at the same time,in the busy periods are also prone to clogging caused by the flow of luggage due to lack of capacity.In view of the above situation,this paper proposes a traffic planning method for dynamic destination encoding vehicle system based on network model,the method firstly establishes the static network system model based on graph theory,then acco rding to the system in a specific period of time the traffic demand in the static network system model,the maximum flow minimum time algorithm system traffic prediction analysis,and get the dynamic destination encoding vehicle system network model.At th e same time,in order to ensure that the destination vehicle encoding system get good control in the operation process,based on dynamic network model to locate the site of the DCV system,a key transportation site analysis algorithm is given,through a co mprehensive analysis of local and global information on each site can be identified,five the relative importance of the transport site.The experimental results show that the prediction feasibility of the method can be completed on the destination encodin g system flow analysis and whole vehicle remote baggage transport tasks in a very short period of time,so as to provide effective reference for the destination encoding vehicle system traffic control and resource allocation.The important station dynamic destination encoding system reviews network model estimation method provides more accurate positioning methods and reasonable for practical luggage transport monitoring based on the demand of different flow,which lays the foundation for further research o n the destination vehicle encoding system monitoring and planning.