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.