A GIS Data Realistic Road Generation Approach for Traffic Simulation
This work addresses a domain-specific issue for traffic simulation practitioners by enabling the use of GIS data in 3D simulations, though it appears incremental as it builds on existing transformation techniques.
The paper tackles the problem of converting raw GIS road network data into a realistic 3D model suitable for real-time traffic simulation, achieving a functional transformation through curvature estimation, interpolation, and clustering schemes.
Road networks exist in the form of polylines with attributes within the GIS databases. Such a representation renders the geographic data impracticable for 3D road traffic simulation. In this work, we propose a method to transform raw GIS data into a realistic, operational model for real-time road traffic simulation. For instance, the proposed raw to simulation ready data transformation is achieved through several curvature estimation, interpolation/approximation, and clustering schemes. The obtained results show the performance of our approach and prove its adequacy to real traffic simulation scenario as can be seen in this video 1 .