A GIS Data Realistic Road Generation Approach for Traffic Simulation

Autor:	Amara, Yacine, Amamra, Abdenour, Daheur, Yasmine, Saichi, Lamia
Rok vydání:	2021
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Computational Geometry Computer Science - Graphics
Zdroj:	In 2019 Federated Conference on Computer Science and Information Systems (FedCSIS) (pp. 385-390). IEEE (2019)
Druh dokumentu:	Working Paper
DOI:	10.15439/2019F223
Popis:	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 . Comment: Accepted in Federated Conference on Computer Science and Information Systems (FedCSIS)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2110.15814 Zobrazit plný text záznamu View this record from Arxiv