Expressway maintenance construction traffic influence simulation method based on unreal engine V5

CN121389408APending Publication Date: 2026-01-23SOUTHEAST UNIV +2
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Patent Information

Application Number
CN202511251187.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-03
Publication Date
2026-01-23

AI Technical Summary

Technical Problem

During traditional highway maintenance and construction, the assessment of the impact of construction plans on traffic flow relies on static calculation models or human experience judgment, lacking dynamic modeling of spatial terrain, construction organization behavior and traffic response process, resulting in low traffic operation efficiency and unscientific construction scheduling.

Method used

A 3D digital twin simulation scene was constructed using Unreal Engine V5. By collecting satellite imagery, digital elevation models, and road network vector data, layer registration was performed on the QGIS platform to generate a geographic base map. Procedural 3D modeling was then performed in CityEngine, imported into Unreal Engine V5 for high-fidelity rendering, and construction layout components and vehicle entities were generated to realize traffic behavior simulation, record travel time, and generate traffic status heatmaps.

Benefits of technology

It enables the scientific selection of construction schemes, improves the scientificity and accuracy of construction organization optimization and traffic flow prediction, breaks through the static and inefficient characteristics of traditional assessment, and significantly improves construction scheduling efficiency.

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Abstract

The invention is suitable for the technical field of intelligent traffic and digital construction, and provides a highway maintenance construction traffic influence simulation method based on an unreal engine V5, which comprises the following steps: acquiring a target area satellite image, a digital elevation model and road network vector data, completing coordinate unification and layer registration in a QGIS, generating a geographic base map, importing the geographic base map into CityEngine, and constructing a highway maintenance construction model. A model matched with a real road network structure is generated by utilizing a CGA rule, an unreal engine V5 is imported through a Datasmith plug-in to establish a digital twinborn simulation environment, a vehicle entity is generated through blueprint logic in a simulation scene and runs along a spline path, speed regulation and avoidance are dynamically performed based on the vehicle distance, the passing time of a construction area is recorded and compared with a non-construction standard, and the real road network model is established. Calculating traffic efficiency, collecting vehicle density, speed and path occupancy rate, and generating a thermodynamic diagram to realize traffic state visualization. Therefore, the static, low-efficiency and non-interactive characteristics of traditional construction influence evaluation are broken through, and the scientificity, accuracy and engineering implementability of construction organization optimization and traffic flow pre-judgment are remarkably improved.
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Citation Information

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