CN-121982940-A - Digital airport apron traffic operation control and simulation deduction method and system

CN121982940ACN 121982940 ACN121982940 ACN 121982940ACN-121982940-A

Abstract

The invention relates to a method and a system for controlling and simulating traffic operation of a digital airport apron, wherein the method comprises the steps of obtaining road network state information comprising the number of aircrafts or vehicles on each road section, the length of the road section and the maximum capacity of the road section; the method comprises the steps of calculating real-time passing weights of road sections based on road network state information, constructing an airport road network directional weighting map based on the real-time passing weights, generating an executable path set based on the airport road network directional weighting map, screening an optimal executable path from the executable path set, converting the optimal executable path into an aircraft and vehicle guiding instruction sequence, acquiring the position and the speed of a physical carrier, rolling and updating the estimated space-time track of the physical carrier, carrying out real-time conflict detection based on the estimated space-time track, and carrying out dynamic re-planning on mobile resources corresponding to paths with lower priority if the space-time conflict exists among the paths so as to eliminate the conflict. Compared with the prior art, the method has the advantage of strong system interactivity.

Inventors

SHEN YU
ZHOU PENG
TIAN YU
WANG JINDONG
DU YUCHUAN

Assignees

同济大学

Dates

Publication Date: 20260505
Application Date: 20260318

Claims (10)

1. A digital airport apron traffic control and simulation deduction method is characterized by comprising the following steps: the method comprises the steps of obtaining road network state information comprising the number of aircrafts or vehicles on each road section, the length of the road section and the maximum capacity of the road section, calculating real-time passing weights of each road section based on the road network state information, and constructing an airport road network directional weighting map based on the real-time passing weights; The method comprises the steps of generating a directional weighting map of an airport road network, generating an executable path set, screening an optimal executable path of a target carrier from the executable path set according to a target position of a mobile request, converting the optimal executable path into a corresponding atomic guidance instruction sequence, and guiding the target carrier to slide or travel to a target operating point along the optimal executable path; the method comprises the steps of acquiring the position and the speed fed back by a physical carrier in real time, rolling and updating the expected space-time track of the physical carrier, carrying out real-time conflict detection on the optimal executable path based on the expected space-time track, and carrying out dynamic rescheduling on mobile resources corresponding to paths with lower priority if the space-time conflict exists among the paths, so as to eliminate the conflict.
2. The method for controlling and simulating and deducting traffic operation of a digital airport apron according to claim 1, wherein the real-time traffic weight of each road section is calculated based on the road network state information, and the corresponding calculation formula is as follows: Wherein, the For the purpose of real-time traffic weight, As a basis of the transit time, the time of the transit, For the length of the road segment, At the rate of the rated speed of the vehicle, For the congestion penalty factor, Is the maximum capacity of the road segment, For the number of aircraft or vehicles already present on the road section at the current moment, For the term of the geometrical penalty of the turn, For the purpose of an environmental safety distance, Is the length of the vehicle.
3. The method for controlling and simulating and deducting traffic of a digital airport apron according to claim 1, wherein the process of dynamic re-planning specifically comprises: comparing preset priorities for conflicts of different types of vehicles, and performing conflict avoidance, namely keeping the paths of the high-priority objects unchanged, and performing path reselection or time sequence adjustment on the low-priority objects; For the collision of the similar vehicles, judging the priority according to the first-come first-serve principle, and controlling the low-priority object to execute the path reselection or the time sequence adjustment; The method comprises the steps of removing paths related to conflict nodes from an executable path set, calculating the total sum of passing weights of new paths, calculating bypass cost based on the total sum of passing weights, calculating waiting cost based on the position and speed fed back by a physical carrier, comparing the bypass cost with the waiting cost, performing path reselection on a low-priority object if the bypass cost is smaller than the waiting cost, and performing time sequence adjustment on the low-priority object if the bypass cost is larger than the waiting cost.
4. The method for controlling and simulating and deducting traffic operation of a digital airport apron according to claim 3, wherein the bypass cost is calculated based on the sum of the traffic weights, and the corresponding calculation formula is as follows: Wherein, the In order to bypass the cost of the device, Is the sum of the traffic weights of the new path, The segment weights are left for the original path, Penalty constant for path switching; Based on the position and the speed fed back by the physical carrier, calculating the waiting cost, wherein the corresponding calculation formula is as follows: Wherein, the For the required waiting time for the vehicle to pass, In order to wait for the cost of the device, Is a time-sensitive coefficient.
5. The method for controlling and simulating deduction of traffic of a digital airport apron according to claim 1, wherein the optimal executable path comprises an optimal executable sliding path and an optimal executable running path; The generation process of the optimal executable taxi path comprises the steps of firstly extracting edges only comprising runway and taxi track attributes from the directed weighting map of the airport road network so as to construct a taxi track subgraph; calculating an executable path set comprising an optimal sliding path and a suboptimal sliding path according to the road network state information and the sliding road subgraph, and screening the optimal executable sliding path; The generation process of the optimal executable running path comprises the steps of firstly extracting edges containing service lane attributes from the airport road network directional weighting graph to construct a service lane subgraph, calculating an executable path set from the current position to a target working point according to the service lane subgraph, and screening the optimal executable running path from the executable path set.
6. The method for controlling and simulating and deducting traffic of a digital airport apron according to claim 1, wherein based on the position and the speed, the predicted space-time trajectory of the physical vehicle is calculated, and the corresponding calculation formula is: Wherein, the For vehicles At future time Is used to predict the position of the object, For vehicles The current coordinates of the current coordinate(s), Is the predicted speed.
7. A system for digital airport apron traffic control and simulation deduction method according to any one of claims 1-6, comprising: The physical experiment sand table subsystem is used for constructing an airport air side real scene environment and comprises an airport running and sliding structure, a movable entity aircraft model, a micro intelligent network ground service vehicle and an environment simulation device; The digital twin simulation subsystem is used for constructing a virtual three-dimensional scene which is consistent with the mapping of the physical experiment sand table subsystem, comprises a digital map model, a virtual aircraft and a ground service vehicle model, and executes virtual-real synchronous rendering based on the position and the running state of the physical carrier so as to realize virtual-real synchronous display; The multisource model fusion scheduling engine is used as a control center of the system, is respectively communicated and connected with the physical experiment sand subsystem and the digital twin simulation subsystem and is used for running a rule model, an executable path generation module, an aircraft running control module, a task chain state machine and an environment state model; The aircraft running control module is used for generating an aircraft sliding request, the task chain state machine is used for generating a ground service vehicle moving request, and the executable path generating module is respectively called to generate a corresponding path; The simulation interaction management and control terminal is used for providing a man-machine interaction interface, presetting an emergency library, allowing a user to import or configure a simulation flight plan, insert an emergency, adjust operation parameters or trigger environmental changes, and triggering joint response of a physical side and a digital side through the multi-source model fusion scheduling engine so as to realize standardized flow demonstration or emergency exercise.
8. The system of claim 7, wherein the mobile entity aircraft model and the micro intelligent network ground service vehicle are both equipped with an embedded processing unit and a positioning module, and the digital side dispatching strategy is physically verified by executing an atomic instruction from a multi-source model fusion dispatching engine and feeding back a physical position and an operation state in real time.
9. The system for controlling and simulating and deducting traffic of a digital airport apron according to claim 7, wherein the executable path generating module is configured to generate an executable path set meeting a rule set in a rule model, and the generating process of the executable path set specifically comprises: Firstly, constructing a unified directional weighting map of an airport road network based on a topological structure of the digital map model, extracting a specific traffic subgraph from the directional weighting map of the airport road network according to type attribute of a carrier, and screening and generating the executable path set according to specific requests of an aircraft operation control module and a task chain state machine.
10. The system of claim 7, wherein the operation rule model is used for storing topology constraints of airport apron operation, road right priorities of aircrafts and ground service vehicles, upper limits of ground service vehicle speeds, standard service duration distribution of various ground service guarantee tasks, safe isolation waiting duration and ground service operation safe distance threshold; the running rule model receives the position and the speed fed back by the physical vehicles in real time, and the estimated space-time track of the aircraft and the ground service vehicle is updated in a rolling way by combining the passing time weight of each road section in the executable path set and the current running state of the vehicles; And when the predicted space-time trajectories of any two vehicles occupy the same space node in the same time window or the space distance of the predicted space-time trajectories is smaller than a preset safety interval threshold value, judging that the paths conflict, and executing dynamic re-planning.

Description

Digital airport apron traffic operation control and simulation deduction method and system Technical Field The invention relates to the technical field of airport ground operation simulation and intelligent control, in particular to a digital airport apron traffic operation control and simulation deduction method and system. Background Airport apron operation control is a core proposition of civil aviation transportation efficiency and safety, and relates to a complex topological structure, a strict operation rule and a high-dynamic collaborative scheduling logic. Along with the promotion of intelligent airport construction, how to construct a high-confidence simulation environment to verify the logic completeness of the apron operation rules, the parameter sensitivity of the dispatching strategies, deduce the emergency treatment plan and train professional dispatcher has become a key technical problem to be solved in the field of aviation engineering. However, the existing related technical means have obvious bipolar differentiation problems in practical application: In one aspect, a mature airport apron dispatch system (e.g., an A-CDM system or a tower control system) is only oriented towards true airport production operations. Such systems rely on highly complex real-time data chains (e.g., radar, ADS-B, ACARS data) and expensive server architecture, and involve extremely high security requirements and operational rights limits. Due to the zero fault tolerance characteristic of the real running environment, the real dispatching system is difficult to carry out light deployment in a college laboratory or scientific research institution, so that a new management and control strategy is difficult to complete closed loop verification in a low-cost environment. On the other hand, existing airport sand tables for laboratories often stay in a "static display" or "mechanical demonstration" stage, and lack precision scheduling capability for complex work flows of air side decks and aircraft-vehicle microcosmic conflicts. Conventional physical sand tables are typically only capable of exhibiting the spatial layout of an airport, or controlling model movements based on preset fixed scripts. The demonstration mode of 'on-the-fly' cannot reflect changeable logic constraints (such as road weight priority and dynamic conflict) in the operation of a real apron, cannot simulate the influence of meteorological environment changes on the operation efficiency, and further lacks real-time state interaction between a physical entity and digital logic. The user faces the sand table, can only be used as bystanders to watch the established flow, and lacks interactivity and operability of the intervention system for parameter injection, emergency interference and strategy iterative optimization. The invention discloses an airport ground service vehicle dispatching system and method with a multi-agent simulation function, and the publication number is CN 119180457A. In view of the fact that the high-efficiency airport ground service is a key factor for improving the turnover rate of flights, the invention comprehensively considers the ground service requirements in the whole process from airplane landing to take-off, and the scheduling and the management and the control of ground service vehicles are realized based on multi-agent simulation. The method comprises the following steps of intelligent body and interaction rule design, basic information input, airport ground service vehicle dispatching and management control model construction and result visual output. Compared with the prior art, the system can truly characterize the service characteristics of the airport ground service vehicles, can realize the comparison of the dispatching and controlling strategy effects of various ground service vehicles, and provides scientific basis for dispatching and optimizing the airport ground service vehicles. But the interactivity and operability of the system designed by this solution is poor. Therefore, development of a simulation deduction system capable of deeply fusing the real sensing experience of a physical sand table, digital twin full-element mapping, complex logic rules of airport operation and environmental interference factors is needed to solve the problem that real restoration of an apron operation scene, algorithm closed-loop verification and high-degree-of-freedom deduction cannot be realized in a low-risk environment in the prior art. Disclosure of Invention The invention aims to overcome the defects of the prior art and provide a method and a system for controlling and simulating traffic operation of a digital airport apron. The aim of the invention can be achieved by the following technical scheme: a digital airport apron traffic control and simulation deduction method comprises the following steps: the method comprises the steps of obtaining road network state information comprising the number of aircrafts or vehicles