At present, navigation data models, such as GDF4.0, KIWI, SDAL and WI 19134, didn't pay attention to form
pedestrian transport infrastructure into their models. With the development of navigation, pedestrian navigation has
become a hot topic. The research team put forward their pilot research on pedestrian data modeling for hybrid travel
patters, mainly including subway, bus and feet. Pedestrian road network modeling was made. Based on this, it carried out
the discussion on multi-level navigation data modeling of hybrid travel patterns. It also gave algorithm suggestion to
operate the optimal route computing more efficient. The future work is just to focus on demonstrate the algorithm.
With the integration of GIS, IT technology and wireless communication techniques, LBS is fast developing and caused wide concern. Personal navigation is the critical application of LBS. It has higher requirement of data quality, positioning accuracy and multi-model services. The study discusses the key techniques of a personal navigation oriented LBS system. As an example for service platform of China Unicom, NAVISTAR especially emphasizes the importance of spatial data organization. Based-on CDMA1X network, it adopts gpsOne\MS-Assisted dynamic positioning technique, and puts forward a data organization solution to realize multi-scale representation.
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