Map-centric probe point association for navigation systems
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Solution Overview
Problem
Existing map matching techniques are computationally expensive and inefficient, particularly for large datasets of probe points, as they require numerous spatial searches to associate each probe point with the closest road segment, limiting real-time applications.
Innovation Solution
A map-centric approach that associates probe points with road segments by determining the grid cell location and projecting them onto a road center polyline segment, reducing the need for individual spatial searches and conserving computational resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If probe-centric map matching techniques are used to identify the closest road segment for each probe point, then map matching accuracy is maintained, but computational time and resources increase substantially
Solution Approach 1:
The patent inverts the traditional probe-centric approach by implementing a map-centric approach. Instead of searching for each probe point individually, the system divides the map into grid cells and processes probe points within each grid cell collectively. This inversion reduces computational complexity by changing the fundamental processing paradigm from point-to-map to map-to-point.
Solution Approach 2:
The patent segments the map into multiple grid cells, each associated with specific road segments. By dividing the large-scale map matching problem into smaller, manageable grid cell problems, the system reduces the number of spatial searches required. Each grid cell maintains associations with relevant road segments, allowing efficient processing of probe points within that cell without searching the entire map.
2Measurement precision
If individual spatial searches are conducted for each probe point to identify the closest road segment, then accurate location identification is achieved, but processing efficiency deteriorates
Solution Approach 1:
The patent performs preliminary actions by pre-dividing the map into grid cells and pre-establishing associations between grid cells and road segments. This preliminary structuring allows probe points to be processed efficiently by simply determining which grid cell they fall into and using the pre-computed associations, rather than performing full spatial searches for each point.
Solution Approach 2:
The patent introduces grid cells as intermediary structures between probe points and road segments. Instead of directly searching for the closest road segment for each probe point, the system uses grid cells as mediators that organize and pre-process spatial relationships, significantly reducing the computational burden of location identification.
3Reliability
If the number of spatial searches is proportional to the number of probe points, then complete coverage is achieved, but computational costs become prohibitive for large datasets
Solution Approach 1:
The patent merges the processing of multiple probe points by organizing them into grid cells. Instead of treating each probe point as a separate entity requiring individual spatial searches, the system combines probe points within the same grid cell and processes them collectively using pre-computed grid-to-road-segment associations, dramatically reducing computational resource requirements.
Data Source
AI summary
A navigation system, method, apparatus and computer program product process probe data utilizing map-centric map matching. In a method, the grid cell in which the probe point is located is determined from among a plurality of grid cells of a region. The method also projects the probe point onto a road center polyline segment associated with the grid cell. The road center polyline segment extends through a map matching road region having edges that are spaced apart from a road center of a road segment by a predefined distance such that a probe point inside a grid cell that is intersected by or included by the map matching region associates the probe point with the road center polyline segment and thereby with road segment as well. Traffic estimation and route guidance may be provided based upon the association of the probe point with the road segment.


