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 .
Cite
@article{arxiv.2110.15814,
title = {A GIS Data Realistic Road Generation Approach for Traffic Simulation},
author = {Yacine Amara and Abdenour Amamra and Yasmine Daheur and Lamia Saichi},
journal= {arXiv preprint arXiv:2110.15814},
year = {2021}
}
Comments
Accepted in Federated Conference on Computer Science and Information Systems (FedCSIS)