Paper Info
Title
Automatic 3D high-fidelity traffic interchange modeling using 2D road GIS data
Abstract
3D road models are widely used in many computer applications such as racing games and driving simulations. However, almost all high-fidelity 3D road models were generated manually by professional artists at the expense of intensive labor. There are very few existing methods for automatically generating 3D high-fidelity road networks, especially for those existing in the real world. Real road network contains various elements such as road segments, road intersections and traffic interchanges. Among them, traffic interchanges present the most challenges to model due to their complexity and the lack of height information (vertical position) of traffic interchanges in existing road GIS data. This paper proposes a novel approach that can automatically produce 3D high-fidelity road network models, including traffic interchange models, from real 2D road GIS data that mainly contain road centerline information. The proposed method consists of several steps. The raw road GIS data are first preprocessed to extract road network topology, merge redundant links, and classify road types. Then overlapped points in the interchanges are detected and their elevations are determined based on a set of level estimation rules. Parametric representations of the road centerlines are then generated through link segmentation and fitting, and they have the advantages of arbitrary levels of detail with reduced memory usage. Finally a set of civil engineering rules for road design (e. g., cross slope, superelevation) are selected and used to generate realistic road surfaces. In addition to traffic interchange modeling, the proposed method also applies to other more general road elements. Preliminary results show that the proposed method is highly effective and useful in many applications.
Year
DOI
Venue
2011
10.1117/12.872511
Proceedings of SPIE
Keywords
Field
DocType
Traffic interchange,procedural modeling,3D high-fidelity,GIS,civil engineering
Geographic information system,Data mining,Procedural modeling,Floating car data,Artificial intelligence,Computer Applications,Computer vision,Cross slope,Simulation,Network topology,Parametric statistics,Network model,Physics
Conference
Volume
ISSN
Citations 
7864
0277-786X
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Jie Wang150.88
Yuzhong Shen218421.96