road mileage data.
(2) the number of completed POI points should be differentiated based on field survey and data produced by the number of POI.
(3) The above data was last updated.
2. Data structure and model
Assessment Content:
(1) road network data structure.
(2) provides digital map scale, scale and quantity.
(3) to choose the format of the data type of the file submitted.
(4) database using the navigation data
Model species.
(5) the number of road network layer.
(6) The principle of separation of road elements.
(7) ability to express complex elements.
3. Plane position accuracy
(1) road, the road geometry and actual shape of the coincidence.
(2) POI points side of the street.
(3) features in spatial relations.
4. Road network attribute richness and quality
The network properties are divided into two parts must be extended, all units were investigated network attribute data collected richness and accuracy. Main attributes are as follows:
(1) Road grade (mainly on the number of grade)
(2) Road form (the main road / roads / Elevated Road / Road level crossing within the classification level of detail, etc.)
(3) Traffic Direction
(4) road length, road width, road height, road name
(5) road layer (used for planning the hierarchical network route number)
(6) intersection traffic restrictions
(7) intersection types (intersection classification level of detail)
(8) lanes
(9) fees identified
5. Background Properties richness and quality
The background properties are divided into two parts must be expanded, collected background properties were investigated the richness and quality. Mainly terrain classification, the feature name as well as accuracy.
6.POI richness and quality attributes
POI attributes must be expanded into two parts, POI properties were investigated collected the richness and quality. The name of the main contents of POI, POI possessions, was associated with road, house address, telephone, etc., check the correctness of t
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