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Fusion and Integration Framework Study on Road Network and Dynamic Traffic Data in Vehicle Navigation

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3 Author(s)
Baogui Cao ; Transp. Coll., Jilin Univ., Changchun, China ; Zhaosheng Yang ; Haiyan Zhu

The rapid fusion and integration of road network and dynamic traffic data is vital for real-time road vehicle navigation. Yet current navigation electronic map and geographical information systems (GIS) are not well adapted to the real-time dynamic traffic navigation data integration and integrated Spatio-temporal database manipulation. This paper brought forward the principles, methodologies, integrative road network and dynamic traffic data spatial-temporal data model architecture and prediction method of short-time traffic parameters, which will provide a reference foundation for a high efficient multi-scale, multi-modal new vehicle navigation and LBS system.

Published in:

Intelligent Information Technology Application Workshops, 2009. IITAW '09. Third International Symposium on

Date of Conference:

21-22 Nov. 2009