Dallas City 3D model

cgtrader

Here is the spun text: A 3D representation of Dallas City in the USA, featuring an expansive area of 25 kilometers by 44.5 kilometers covered by 2019 map data. Roads, rail networks, landforms, bodies of water, and structures are all recreated using authentic world data. The buildings, precisely placed to mirror real-world structures up to a certain extent, showcase accurate replication. Please note that random buildings with varying heights have been added to regions where reliable real-world data is not readily available. This scene boasts an uncluttered hierarchy, efficiently grouping various types of real-world objects according to their classification. All objects are accurately named and contain realistic materials, while maintaining a spotless Flat UV map. Proper unwrapping for most of the objects has been carried out, although some may utilize cubic mapping for enhanced realism. Notably, buildings have been extracted from genuine real-world data, whereas random structures with unique heights have been strategically added to certain areas where the real-world data is partially unavailable. Scene Highlights: 1. Aerodromes: Apron, taxiway, and terminal configurations accurately recreate an aerodrome setting. 2. Aerial Walkways 3. AEROWAY Structures: Featuring aprons, taxiways, and terminals. 4. Boundary Barriers: Strategically positioned barriers for safety and aesthetic purposes. 5. Various Buildings: Diversely designed apartments, farmhouses, hotels, residential structures, commercial offices, industrial units, retail spaces, detached houses, dormitories, bungalows, terraces, houseboats, cabins, office blocks, static caravans, farms, hotel buildings, apartment complexes, farmhouses, resorts, etc. 6. Motorway Highway Systems: Accurately modeled motorways with varying classification (residential, motorway trunk primary secondary tertiary), unclassified roads, living streets, pedestrian tracks, service roads, bus guideways, escape routes, road raceways, footways, bridleways, construction paths, proposed walkways, rest areas. 7. Historical Monuments 8. Land Usage Classes: Residential (e.g., detached house, dormitory, commercial spaces), industrial sites, and retail stores are efficiently categorized. Some key features include: * Historic monuments accurately reconstructed based on genuine world data * Various Man-made Objects, like wooden trees in rows, solitary tree trunks, dense shrubs, health grasslands, tree areas with minimal vegetation and natural water bodies, are included. * Railyway Scenes: Monorail systems with diverse train lines. * Various Waterways - Rivers accurately mapped from real world data, showcasing both the river itself and the banks around it. - Artificial water channels such as rivers and canals used in boat yard. * Camera settings for visualization: zoom is 12.81, the area is set at 14 X 25KM scale is fixed as 1:71444 while scene units are measured in centimeters. By efficiently using this scene, it's simple to adjust visual preferences without difficulty or extensive adjustments thanks to easily removable layers. The provided texture and material library make modifying designs and colors seamless. Additionally, a straightforward path exists for adding tree coverage using existing map data. Thanks to the cooperation of the OpenStreetMap contributors for providing reliable 2019 map data that underpins this digital 3D environment.