A GIS Data Realistic Road Generation Approach for Traffic Simulation
Yacine Amara, Abdenour Amamra, Yasmine Daheur, Lamia Saichi
TL;DR
This paper presents a method to convert GIS road network data into realistic, simulation-ready 3D models suitable for real-time traffic simulation, enhancing the practical use of geographic data.
Contribution
The paper introduces a novel transformation process involving curvature estimation, interpolation, and clustering to prepare GIS data for traffic simulation.
Findings
Effective transformation of GIS data into 3D models
Demonstrated real-time simulation performance
Validated approach with practical traffic scenarios
Abstract
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 .
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