487 results about "Passenger transport" patented technology

The invention relates to the technical field of railways, and discloses a railway passenger train operation state monitoring system based on artificial intelligence, which comprises a multi-modal sensor array, an edge AI judgment platform and a cloud intelligent decision center. According to the railway passenger train operation state monitoring method and system based on artificial intelligence, 28 parameters of a contact network, a running gear and the like are collected in real time through a multi-modal sensor array, an edge AI judgment platform utilizes a cross-modal fusion algorithm to deeply mine multi-source data potential association, the fault diagnosis accuracy is improved, and the fault diagnosis efficiency is improved. The cloud intelligent decision center dynamically aggregates gradient parameters of the edge end model based on federated learning, filters abnormal nodes and updates the abnormal nodes in an hour-level period, and constructs a digital twinborn model in combination with a Spark framework to realize dynamic parameter optimization; the fire-fighting early warning fusion model is linked with the air conditioner pressure and the compartment sealing state correction threshold value through a three-stage mechanism of parameter initial judgment, visual verification and environment verification, it is ensured that the early warning response time is shorter than 200 ms, and cooperation with the overall state of the train is achieved.

The invention is suitable for the technical field of railway passenger flow prediction, and provides a railway passenger flow prediction method and system based on a knowledge graph and a multi-modal large model. The method comprises the following steps: carrying out multi-source data acquisition on a plurality of preset heterogeneous data sources, and carrying out multi-source data preprocessing to obtain multi-modal data; entity and relation information is extracted from the multi-modal data, a knowledge graph is constructed, and the knowledge graph is dynamically updated; acquiring real-time input data, performing association reasoning on the real-time input data and the knowledge graph by using a preset multi-modal large model, and outputting a passenger flow prediction result; and carrying out visual display on the passenger flow prediction result, and providing scheduling optimization suggestions. According to the method, the problems of high data isomerism, slow knowledge graph updating, insufficient multi-modal data association analysis capability and the like in the prior art can be solved, so that efficient and accurate prediction of the railway passenger flow is realized, effective decision support is provided for railway passenger transport management, and the intelligent level and economic benefits of railway operation management are improved.

The invention relates to an airport operation guarantee capability evaluation and analysis method, which belongs to the field of airport operation and maintenance, and comprises the following steps: intelligently predicting the number of entering airplanes and the number of entering and exiting passenger flows of a target airport in a future time interval by using an airport operation and maintenance analysis model; sending a runway increase request when the number of entering aircrafts exceeds the aircraft capacity threshold value of the target airport in the future time interval, and sending a passenger flow overrun signal when the number of entering and exiting passenger flows is larger than the upper limit of the number of entering and exiting passenger flows of the target airport in the set interval duration. The invention also relates to an airport operation guarantee capability evaluation and analysis system. According to the invention, in order to solve the technical problem that it is difficult to consider time-sharing passenger transport demand meeting and airport operation and maintenance resource saving in the prior art, the airport operation and maintenance analysis model is introduced to predict the number of entering airplanes and the number of entering and exiting passenger flows of the target airport in the future time interval; and executing airport operation guarantee capability evaluation analysis and airport operation and maintenance resource dynamic adjustment, thereby solving the technical problems.

The invention discloses an urban passenger transport resource allocation method and system based on Internet big data, and belongs to the field of intelligent transportation. A bus station service matching model is constructed, service areas are divided through bus station space distribution, service radius and travel data, travel demand intensity and station matching degree are evaluated, and the service efficiency is improved. The method comprises the following steps: establishing an accessibility evaluation model, evaluating the accessibility level of each station through destination information around the station, establishing a bus and subway collaborative evaluation model, evaluating the substitution effect of the subway on the bus and the collaborative degree of the bus and the subway through transfer data, and establishing a station residence time optimization model. The matching degree, the accessibility, the substitution degree and the cooperation degree are imported into a station residence time optimization model to adjust the residence time of the bus at each station, a bus shift dynamic adjustment model is constructed, weather and event external factors are imported into the bus shift dynamic adjustment model to predict passenger flow changes and optimize shift setting, and the bus shift dynamic adjustment model is constructed. And the bus dispatching efficiency and the operation stability are improved.

The invention relates to the technical field of passenger flow prediction, in particular to a passenger flow prediction method based on language model fusion, which is suitable for railway operation scenes such as train working diagram dynamic adjustment and passenger transport organization, and comprises the following steps: firstly, collecting passenger flow, holidays, weather and event multi-source data and preprocessing; in the first stage, passenger flow data is input by using time sequence models such as PatchTST and the like, and preliminary predicted values in a plurality of time periods in the future are output; and textualizing the predicted value, generating external semantic information, constructing a fusion Prompt input language large model, and optimizing the predicted value after comprehensive analysis. According to the passenger flow prediction method based on language model fusion, numerical trend and semantic collaborative modeling is realized, the prediction precision of holidays and holidays and emergency scenes is improved, the result interpretability is enhanced, and the prediction efficiency is improved. Generalization is high, the structure is flexible, and reliable support is provided for railway operation decision making.

The invention provides a layered multi-agent car-pooling vehicle scheduling method and device, and relates to the technical field of inter-city passenger transport car-pooling planning, and the method comprises the steps: obtaining passenger demand distribution, vehicle distribution and prediction data of origin and destination cities, combining a driving time matrix, a distance matrix and historical car-pooling data of regions, and carrying out the inter-city passenger transport car-pooling planning. And constructing a hypergraph structure and forming a model constraint. In the city level, the city intelligent agent carries out vehicle scheduling according to passenger and vehicle distribution in the city; and in the global level, the global intelligent agent further implements inter-city vehicle scheduling based on the scheduled state in the city. Through global vehicle and passenger distribution data, passengers and vehicles in the city are firstly matched, and then inter-city vehicles are scheduled according to a matching result, so that related transport mechanisms can configure transport capacity resources in advance. The waiting time of passengers and the empty driving range of drivers are effectively reduced, the problem of unbalanced distribution of passengers and vehicles between cities is recognized and relieved in advance, and meanwhile, the operating profit of a company is improved.

The invention discloses a multi-mode continuous transportation supply and demand matching degree evaluation method for a comprehensive transportation junction, and the method comprises the steps: carrying out the collection, cleaning, standardization and time-space alignment of multi-source passenger flow and transport capacity data of inter-city traffic and an intra-city continuous mode, and constructing a unified data basis; according to operation characteristics of different connection modes, a differential supply and demand measurement model is established, and accurate mapping of multi-mode passenger flow and transport capacity is realized through a total passenger flow-connection mode distribution matrix; and introducing a cloud model theory, and carrying out weighted fusion on matching degree indexes of each continuing mode to describe fuzziness and uncertainty in a supply-demand relationship, so as to realize quantitative evaluation of the multi-mode transport capacity coordination level of the comprehensive hub. Through differential supply and demand modeling and cloud model fusion, the supply and demand matching state of multi-mode continuous transportation of the comprehensive passenger transport hub can be accurately reflected, and a scientific decision basis is provided for operation scheduling and resource optimization of a hub management department.

The invention provides a railway passenger transport operation safety risk hidden danger troubleshooting method and system, and the method comprises the steps: synchronously collecting various operation data, including communication and broadcast voice, station guide screen state, fault log and operation environment sensor data; and determining a homework voice main body by using the voiceprint recognition model, and converting the homework voice main body into a homework text after noise Meanwhile, key entity information is extracted from all kinds of data and is aligned with the homework text. And performing semantic extraction and logical reasoning comparison on the aligned text and information in combination with a multi-modal risk knowledge graph, outputting a real-time troubleshooting result according to a preset risk assessment mechanism, and feeding back the real-time troubleshooting result to an operation text main body, so as to realize troubleshooting of the railway passenger operation safety risk hidden danger. Real-time and accurate troubleshooting of the railway passenger transport operation safety risk hidden danger is realized, and the safety management level of the railway passenger transport operation is effectively improved.

A structure and passenger transport paradigm for accommodating passengers in a vehicle with particular attention paid to safety, utility and comfort, social networks including a technology configured to enable community engagement in personal protection and methodologies for virtual visualization and navigation in a remote physical space and provides a mechanism for verification and authentication of video and other evidence.

The invention relates to the technical field of customized passenger transport services, in particular to a customized passenger transport route planning method and system, and the method comprises the steps: obtaining an initial route planning result and an order station of a passenger transport vehicle, and constructing graph structure data; in response to a newly added high-priority order of the passenger vehicle, performing path planning again by taking the coordinate point of the current passenger vehicle as a starting point and the coordinate point of the high-priority order as a terminal point; according to the actual effective rate from the coordinate point of each passenger vehicle to the coordinate point of the high-priority order in the graph structure data, obtaining the initial probability distribution of each passenger vehicle; and further correcting the initial probability distribution to obtain a correction probability distribution model, performing a new path planning result, and completing the customized passenger transport service according to the new path planning result. According to the method, high-priority orders are dynamically responded, the path is quickly re-planned, the vehicle empty driving rate and response delay are effectively reduced, and the detouring cost is reduced.

The invention relates to the technical field of fatigue tests, and discloses a vibration device for a fatigue test of a passenger ropeway carriage, the vibration device comprises a support control positioning mechanism and a height control positioning mechanism, the middle position of the support control positioning mechanism is connected with a vibration adjustment positioning mechanism, and the support control positioning mechanism comprises a positioning frame; a positioning column is fixedly arranged at the bottom end of the positioning frame, a fixing frame is fixedly arranged at the bottom end of the positioning column, and a plurality of supporting legs are fixedly arranged at the outer end of the fixing frame. The vibration mechanism can move along a square track, so that reciprocating linear vibration or rotating circular vibration is realized; due to the multidirectional vibration capability, the test working condition is closer to the actual operation scene, and the accuracy of fatigue life evaluation is improved; the vibration mechanism supports multidirectional movement and can simulate complex vibration working conditions caused by passenger walking, goods unbalance loading and the like, and the working condition coverage of the test is remarkably improved.

The invention discloses a multi-objective optimization method, medium and equipment for passenger and goods mail fusion in rural areas, and the method comprises the steps: S1, building a multi-objective optimization model of urban and rural passenger vehicle operation based on the constraint conditions of urban and rural passenger vehicle operation; s2, acquiring operation parameters of urban and rural passenger vehicles and inputting the operation parameters to the multi-objective optimization model; s3, determining and coding values of decision variables involved in the operation optimization process; s4, searching an optimal solution set by using a multi-target genetic algorithm; and S5, adjusting an urban and rural passenger vehicle operation scheme based on the optimal solution set, and departing the vehicle. The urban and rural passenger transport vehicle operation multi-objective optimization model under the passenger-goods-mail fusion is constructed, the optimal decision of the vehicle operation problem of the subject benefits of all parties is met, and the problem that the transport capacity and the transport volume of the passenger-goods-mail in the rural area are not matched and unbalanced is effectively solved.

The invention discloses an airline passenger transport fleet business index calculation method and system based on aviation data, and the method comprises the steps: obtaining the passenger transport information of an airline passenger transport fleet in a preset period, and carrying out the screening and cleaning of the passenger transport information, so as to form a passenger transport data set which can be used for analysis; constructing four-level index data of the airline passenger transportation fleet business index based on the passenger transportation data set, and determining the weight of the four-level index data by adopting a CRITIC method; performing season adjustment and standardization processing on the fourth-level index data, and performing weighted calculation according to the determined weight of the fourth-level index data to obtain third-level index data; carrying out abnormal value detection and processing on the third-level index data, and carrying out weighting calculation to obtain second-level index data; and calculating the second-level index data by adopting an entropy weight method to obtain the airline passenger transportation fleet prosperity index. According to the method and the system, the operation efficiency and the economic benefit of the airline are improved.

The invention provides a passenger ropeway operation monitoring method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining data collected by an intelligent sensor, and building a ropeway operation database; analyzing historical data to construct an anomaly diagnosis model; inputting the first data into the model to obtain an abnormality diagnosis result; controlling a camera to collect video image data, analyzing a video, and recognizing a compartment posture and passenger behaviors to obtain a video recognition result; analyzing the cableway abnormity diagnosis result and the video identification result to obtain an abnormity analysis result; constructing a three-dimensional digital model of the first passenger ropeway, and mapping the real-time operation data into the model to generate a digital twinborn model; and when an abnormal condition occurs, generating an abnormal processing scheme according to the digital twin model and an abnormal analysis result, triggering a braking system and a safety control device, and adjusting operation parameters. Through the scheme of the invention, the abnormity can be monitored and diagnosed in real time, and the safety and the operation efficiency can be improved through an automatic means.

A sofa for a passenger transport vehicle such as an aircraft, including a seat section, a backrest and a structure supporting them, the sofa being convertible into at least two positions each having a total usable surface area by the passenger: a sitting position where the backrest is upright with respect to the seat section, and a reclining position where the backrest is folded down in the same plane with respect to the seat section. The seat having a sufficient length to allow a passenger in the sitting position to fully extend their legs. In the sitting position, the backrest is partially stored beneath the seat section in a space of the structure, such that the total usable surface area in the sitting position is less than the total usable surface area in the reclining position.

The invention provides a peak period passenger transport organization optimization method and system based on big data, and relates to the technical field of passenger transport organization optimization. The method comprises the following steps: acquiring historical peak period passenger transport data of a target station, and performing feature extraction based on price factors to form peak period passenger transport change feature data; collecting ticket booking data of the target station in the current peak period, and performing passenger flow guide adjustment based on price factors in combination with the passenger transport change characteristic data in the peak period to form passenger flow guide adjustment data; and acquiring guide peak ticket booking data of the target station, and performing early warning analysis in combination with station transport capacity data to form peak guide early warning data. According to the method, active consumption guidance is realized through characteristic analysis based on price factors, so that the condition of transport capacity tension caused by peak hours is relieved, the efficiency is high, and the influence on the cost is relatively small.

The invention discloses a subway passenger and freight co-transport simulation method and system based on multiple agents, and belongs to the technical field of urban traffic and logistics simulation. The simulation method comprises the following steps: constructing a multi-source heterogeneous urban traffic basic database; generating a passenger agent and a cargo agent, and allocating an initial travel plan or a logistics strategy to each agent; simulating a passenger transport benchmark equilibrium state, loading a passenger agent through iteration, calculating a utility score, and re-planning a low-score agent until the passenger transport benchmark equilibrium state is converged to a user equilibrium state; constructing a passenger and freight co-transport conflict interaction and nonlinear perception model, and constructing a coupling congestion perception model and a nonlinear comfort penalty function; passenger and cargo co-evolution iterative simulation is carried out, passengers and cargo intelligent agents are loaded at the same time, multi-dimensional utility evaluation and dynamic collaborative re-planning are carried out, and a system is simulated through a double-layer coupling iterative mechanism to find a new equilibrium process; and calculating and outputting a passenger flow influence index, a logistics efficiency index and a system comprehensive benefit.

The invention provides a traffic structure optimization method and system based on a carbon emission calculation model, and belongs to the technical field of intelligent traffic management and environmental engineering. According to the method, a multi-factor and multi-target traffic structure optimization model is constructed, and an ideal point method and an NSGA-II algorithm are fused under the condition of a multi-modal scene. The model takes the minimum traffic carbon emission, the maximum passenger traffic transportation efficiency and the optimal user travel utility as three core targets, and corresponding constraint conditions are set. Through the model, accurate optimization of the traffic structure can be realized, the carbon emission of the traffic system is effectively reduced, and meanwhile, the overall efficiency of the traffic system and the user travel experience are improved.

The invention discloses a reciprocating type passenger ropeway constant deceleration control system, and relates to the technical field of brake control. According to the method, the first-stage constant deceleration braking mode and the second-stage constant torque braking mode are set, analysis is carried out through the second-stage braking conversion algorithm, the deceleration abnormal index, the speed tracking abnormal index and the response abnormal index are output, then the mode abnormal total value is obtained, the braking state is judged, self-adaptive mode switching is achieved, and the braking efficiency is improved. Constant braking deceleration is maintained, swinging of a hanging box is reduced, comfort of passengers is improved, brake rubber abrasion is reduced, meanwhile, regional debugging is not needed, and the operation difficulty of a construction site is reduced; hydraulic loop parameters are analyzed through a failure judgment logic algorithm set by the hydraulic redundancy protection module, a loop abnormal total value is output, and hydraulic loop switching is carried out based on the loop abnormal total value; and through visual display of the fault memory interaction module, the safety redundancy of the braking system is improved, fault tracing and maintenance are facilitated, and the running reliability of the cableway is guaranteed.

The invention discloses a railway passenger train brake head bush dismounting device which comprises a bolt, a brake head anti-deformation mechanism and a locking matching mechanism, the brake head anti-deformation mechanism and the locking matching mechanism are assembled on the bolt, and the brake head anti-deformation mechanism is used for being installed between two bush assembling plates of a brake head. The two lining assembling plates are respectively provided with lining assembling holes which are coaxially distributed with the bolts; the bolt comprises a screw portion and a driving portion which are integrally connected, the locking matching mechanism is in threaded connection with the screw portion, a sleeve is arranged between the driving portion and the brake head anti-deformation mechanism, a sleeve is arranged between the locking matching mechanism and the brake head anti-deformation mechanism, and the sleeves are bushings matched with the bushing assembly holes or sleeve withdrawing sleeves higher than the bushings. According to the invention, the bush assembly plate of the brake head can be effectively prevented from being extruded and deformed, so that the maintenance cost is reduced, the two bushings can be inlaid or withdrawn at the same time, and the maintenance efficiency of the brake head is improved; in addition, use and operation are easy, and the requirement for maintainers is low.

The invention discloses a hierarchical prediction method and system for civil aviation passenger transport demands based on multi-source heterogeneous data, and the method comprises the steps: constructing a civil aviation passenger transport demand driving feature library, and constructing the civil aviation passenger transport demand driving feature library according to hierarchical items and upper and lower hierarchies of hierarchical feature items; constructing a civil aviation passenger transport demand level combination prediction model comprising a plurality of level item prediction sub-models; extracting causal association time series data taking daily passenger flow as a dependent variable and hierarchical feature item data as an independent variable in the historical feature data subset, and inputting the causal association time series data into a hierarchical item prediction sub-model for feature time series data prediction training; and the civil aviation passenger transport demand level combination prediction model sequentially outputs daily passenger flow volume corresponding to each level from bottom to top according to the level items. According to the method, daily passenger flow prediction according to multiple attribution levels of airlines, airports, cities and countries is realized, passenger flow demand data from macroscopic to microscopic linkage constraints can be obtained, and hierarchical rich data is provided for civil aviation management parties so as to improve the guarantee service capability.

The invention discloses a comprehensive passenger transport hub multi-transport-body transport capacity cooperative adjustment method, which comprises the following steps: firstly, collecting real-time operation data of each transport body in a hub, and calculating the transport capacity according to the real-time operation data; analyzing the transportation capacity matching degree according to the transportation capacity of each main body, and determining a grading standard; judging whether a condition of uneven transport capacity resource allocation exists or not according to the transport capacity matching degree; and if yes, making a basic transport capacity collaborative adjustment scheme. According to the method, data are collected in real time to construct a model to calculate the transport capacity, the transport capacity of different transport modes can be accurately quantified, the link of uneven transport capacity distribution can be rapidly identified by using a transport capacity matching degree grading standard, and then an effective scheme is formulated to improve the overall transport efficiency of a hub and achieve dynamic balance of the transport capacity; data accuracy and scheme operability are both considered, the waiting time of passengers can be remarkably shortened, the resource utilization rate is increased, and a scientific decision basis is provided for efficient operation of a hub.

The invention discloses a general aviation demand-oriented trunk and branch multi-layer transportation network optimization method, relates to the technical field of aviation hub site selection, and aims to solve the problems of accurate prediction of general aviation short-distance transportation demands and connection of general aviation and trunk and branch aviation networks. The method comprises the following steps: firstly, establishing an airline passenger transport demand influence factor index system, and extracting a similar airline reference sample set; secondly, considering characteristics of different types of airports and airlines, and designing a gravity model based on similarity to carry out airline demand prediction; then, by taking minimization of transportation cost and hub construction cost, minimization of longest transportation time and maximization of general aviation short-distance transportation demand coverage rate as targets, constructing a single-allocation allowed direct connection shaft spoke type network hub site selection model; and finally, designing an NSGA-III algorithm to solve the multi-objective optimization model. According to the method, economic benefits, transportation efficiency and demand coverage can be comprehensively considered, a hub layout scheme is obtained, and reference is provided for decision makers of governments, airports and airlines.

The invention provides a low-altitude take-off and landing facility demand scale space distribution prediction method for a target area, and relates to the technical field of infrastructure planning, and the method comprises the steps: S1, analyzing and predicting the historical demand data of four scene types according to the historical demand data of the target area; s2, performing parameter calibration by adopting Monte Carlo simulation, and improving the prediction precision of the corrected exponential growth model and the logistic growth model through Bayesian estimation; s3, determining the demand quantity of low-altitude passenger transport take-off and landing facilities and the demand quantity of low-altitude loading take-off and landing facilities, and optimizing to obtain the total demand quantity of low-altitude take-off and landing stations in the target And S4, planning the low-altitude infrastructure of the target area, and enabling the nodes of the low-altitude take-off and landing facility to be matched with the space of the demand hotspot. According to the method, a plurality of dynamic technology progress models and a multi-scenario analysis mechanism are integrated, so that the accuracy and scientificity of data prediction are improved; and a station reuse coefficient is introduced, efficient sharing of passenger transport and freight transport facilities is realized, and the planning layout of low-altitude take-off and landing facilities is optimized.

A method and system for the flexible combined transport of persons and / or freight via rail or road. A coordination system coordinates the total transport capacity and the specific demand for transport of passengers and freight in real time and dynamically. The coordination system registers the existing capacity of persons and freight of a transport means, determines a residual capacity, defined by the difference between the passenger capacity and the passenger transport demand, and determines a transformation capacity, which is determined by the size of the residual capacity that can be transformed for the carriage of freight. The freight capacity is determined by the transformation capacity and the existing freight capacity. A multi-functional transport modality for rail or road and other support means for the realization of an efficient and resilient mobility system for passengers and freight.

A passenger transport system and a method for transporting a passenger include a cabin transported by a transport vehicle, the cabin accommodating at least one passenger. The transport vehicle and the cabin are coupled and decoupled such that the cabin is transported when coupled to the transport vehicle. The passenger transport system also has a movement device attached to a building and which is coupled to and decoupled from the cabin. The cabin, when coupled to the movement device, is moved relative to the building by the movement device on a first main movement path and on a second main movement path.

Lighting device (10) for a passenger transport vehicle, wherein the lighting device comprises: a lighting unit (13) designed to illuminate a projection area (31) differently with a light cone (130) based on a plurality of different lighting patterns; where the lighting patterns are pixel-based image data; an interface (12) to an external system for receiving and sending lighting data; and a control unit (11) designed to control the lighting unit with respect to the different lighting patterns based on the received lighting data; characterized by the fact that the lighting unit (13) is designed to generate multiple light cones in a coverage area of ​​the lighting unit depending on the pixel-based image data, so that a light cone results in a delimited lighting area within the coverage area and only the resulting lighting area is illuminated.

The invention discloses a local railway passenger operation scheme decision-making method, device, equipment and product, and relates to the technical field of railway operation. The method comprises the following steps of: firstly, taking whole-course ticket checking quantity time sequence data of a target local railway as whole-course passenger volume time sequence data, and predicting to obtain whole-course passenger volume time sequence prediction data of the target local railway in a plurality of continuous natural days in the future according to the whole-course passenger volume time sequence data; the method comprises the following steps: optimizing a passenger transport operation scheme of a target local railway in a plurality of continuous natural days in the future based on an optimization algorithm to obtain a passenger transport operation scheme with a shortest cosine distance, and finally taking the passenger transport operation scheme as an optimal passenger transport operation scheme of the target local railway in the plurality of continuous natural days in the future and outputting the optimal passenger transport operation scheme. Therefore, the method can be used for deciding a local railway passenger operation scheme, and the ticket supply quantity is matched with the passenger demand quantity to the maximum extent, so that the passenger operation attendance rate is improved, and local railway operation profit is facilitated.

To smoothly transport packages using passenger trains.SOLUTION: A physical distribution system 1 (train assignment system) is configured to assign a train to transport a desired package from among a group of passenger trains capable of transporting packages. A server 10 receives transportation request conditions related to the desired package. The server 10 assigns (retrieves), from the passenger train group, a train that satisfies the received transportation request conditions under constraint conditions related to package transportation of the passenger train group.SELECTED DRAWING: Figure 8

The invention provides a high-speed rail passenger transport hub connection transport capacity configuration optimization method, and belongs to the field of traffic management. The method comprises the following steps: proposing a simplified calculation formula of waiting time for connecting a subway, a bus, a taxi and an online hailed taxi in a high-speed rail passenger transport hub; a high-speed rail passenger transport hub connection transport capacity configuration optimization model based on double-layer programming is constructed, an upper layer model is a departure interval decision-making model based on multi-objective optimization, and a lower layer model is a traveler travel mode selection model based on random user balance; and a hybrid intelligent optimization algorithm is provided for solving the bilayer planning. According to the method provided by the invention, optimization of connection transport capacity configuration of the high-speed rail passenger transport hub can be realized, and a basis is provided for formulating a passenger flow evacuation scheme of the high-speed rail passenger transport hub.