Research On The Layout Of Highway Passenger Transport Hubs Under Uncertain Conditions

As an important node of passenger flow distribution and passenger flow transfer,the highway passenger transport hub plays a role in the transfer function and direct function of daily passenger flow.It is also a transfer center that meets the diversified directions of urban passenger flow and the complex demand of passenger flow.At present,problems such as the unreasonable layout of the highway passenger transportation hub and the inability to achieve effective connection between the various modes of transportation are more serious,causing inconvenience for passengers to transfer,and the overall transfer efficiency of the hub is low.The effective layout combination of the hub in space is the prerequisite for the realization of the hub function,and the current hub layout rarely considers the influence of uncertain conditions on the hub layout during the construction process.The reasonable hub layout obtained when considering uncertain conditions can realize the effective connection between various transportation modes and provide convenient services for passengers.At the same time,the hub has strong reliability,thereby improving the overall transfer efficiency of the hub.In view of this,thesis chooses to study the layout of highway passenger transport hubs under uncertain conditions.This thesis firstly takes the basic theory of highway passenger transport hub as a starting point,analyzes the definition,basic functions and influencing factors of highway passenger transport hub,and analyzes the uncertain factors.Then establish the layout model of the highway passenger transportation hub under the uncertainty of demand,use the SCIP solver,invoking Cplex to solve the built model,and finally apply the model to the A data set and the B data set randomly generated by Python,where A The data set contains the coordinates of 20 nodes and the passenger flow between nodes,and the B data set contains the coordinates of 200 nodes and the passenger flow between nodes.It verifies the effectiveness of the model and algorithm,draws the optimal solution and related conclusions,and constructs each The passenger flow data under the scenario and the risk of failure of the hub are analyzed to analyze the model,and it is concluded that the layout model of the highway passenger transport hub under the uncertainty of demand is more reliable than the deterministic model.Then establish a highway passenger transport hub layout model under uncertainty of demand points and demand.Different from the highway passenger transport hub layout model under uncertainty of demand,the layout model of highway passenger transport hubs under uncertainty of demand point and demand takes into account the nodes.The uncertainty of passenger flow,coupled with the uncertainty of the location of demand points,take the A data set and B data set randomly generated by Python as an example,use the SCIP solver to solve the problem,obtain the optimal plan of the highway hub layout,and verify the model In the same way as the effectiveness of the algorithm,construct passenger flow data under various random scenarios and analyze the model considering the risk of failure of the hub.It is concluded that the layout model of the highway passenger transport hub under the uncertainty of demand points and demand is better than the deterministic model.Reliable.Finally,a comparison of models is made,and a detailed comparison is made between the construction cost and the ability to resist risks,and the conclusion is drawn:the layout model of the highway passenger transport hub under uncertain demand points and demand and the layout model of highway passenger transport hub under uncertain demand In contrast,the former is slightly lower in cost than the latter,but the resulting hub layout plan is more stable than the highway passenger transport hub layout model under uncertain demand,and has a stronger ability to resist interference from external factors.This provides a certain reference for the planning and design of future highway passenger transport hubs.