Name
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
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Year | DOI | Venue |
|---|---|---|
2019 | 10.15439/2019F223 | 2019 Federated Conference on Computer Science and Information Systems (FedCSIS) |
Keywords | Field | DocType |
Road interpolation,Road modeling,Traffic simulation,Vehicle virtual navigation | Data mining,Curvature,Road networks,Computer science,Interpolation,Traffic simulation,Road traffic,Cluster analysis | Conference |
ISSN | ISBN | Citations |
2325-0348 | 978-1-5386-8005-6 | 0 |
PageRank | References | Authors |
0.34 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yacine Amara | 1 | 0 | 0.68 |
| Abdenour Amamra | 2 | 0 | 1.01 |
| Yasmine Daheur | 3 | 0 | 0.34 |
| Lamia Saichi | 4 | 0 | 0.34 |