Digital Twin for Planning & Simulation

Feiyan Aerial Remote Sensing Technology Co., Ltd. constructs high-precision 3D reality models and digital twins of transport corridors. These models serve as a virtual proving ground for infrastructure planning, impact simulation, and public engagement, transforming planning from concept to data-driven reality.

Our Differentiated Solution Framework

Built on the Swift4D Platform, our framework integrates data foundation, simulation, and collaborative decision-making:

Y-1 High-Precision Acquisition: LiDAR and oblique cameras capture centimeter-level point clouds and imagery along transport corridors, providing an accurate data foundation.

Swift4D Reality Modeling: Automated generation of 5cm-resolution 3D reality models accurately presenting roads, bridges, tunnels, and surrounding environments.

Multi-Scenario Simulation: Integration of traffic flow, environmental, and engineering parameters to support traffic simulation, noise analysis, visual assessment, and construction impact evaluation.

Public Engagement & Collaborative Decision-Making: Interactive visualization platforms support multi-plan comparison, virtual walkthroughs, and feedback collection for transparent decision-making.

Application Scenarios & Client Value

Application Scenarios

Transport Infrastructure Planning: Conduct route comparison, interchange scheme optimization, and land-use boundary justification within the digital twin environment.

Construction Project Impact Assessment: Simulate impacts of new projects on traffic flow, visual landscape, and acoustic environment to support environmental and social stability assessments.

Construction Organization & Traffic Diversion: Simulate traffic diversion schemes during construction to optimize barrier placement and detour routes.

Public Engagement & Plan Disclosure: Present planning proposals through 3D visualization to collect public feedback.

Intelligent Transportation System Integration: Provide high-precision digital base maps and simulation environments for connected vehicles and autonomous driving testing.

Client Value

Reduces Planning Decision Risks: Identify scheme conflicts and potential issues in the virtual environment to minimize downstream change costs.

Enhances Scientific Basis for Scheme Evaluation: Support multi-plan comparison with quantitative simulation data, avoiding subjective judgment biases.

Shortens Planning Approval Cycles: Accelerate inter-departmental review and public consultation processes through visualization and collaborative platforms.

Improves Public Engagement Effectiveness: Intuitive 3D visualization lowers understanding barriers, enhancing feedback quality and acceptance.

Supports Full Lifecycle Management: Digital twins can be carried forward through design, construction, and operation phases, enabling a closed-loop digital asset management approach.