Map-Based Traffic Jam Display Using Distance Ratio Correction
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Solution Overview
Problem
Existing systems face issues with positional displacement of caution zones on maps due to differences in map data between the server and processor, leading to inaccurate display of traffic jams or traffic controls.
Innovation Solution
A processor system that includes a communicator, storage, and controller, which identifies intersections and calculates distance ratios to correct the length of caution zones based on map data, ensuring accurate display by using a distance correction value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If map data from server and processor are kept different (due to independent updates), then system independence and update flexibility are maintained, but positional displacement of caution zones occurs
Solution Approach 1:
The patent applies parameter changes by introducing a scaling factor that transforms distance measurements from server map data to processor map data. This scaling factor adjusts for differences in map data versions, allowing the system to maintain independent updates while correcting positional discrepancies through mathematical transformation of distance parameters.
Solution Approach 2:
The patent uses an intermediary approach by introducing a scaling factor as a mediator between server map data and processor map data. This scaling factor acts as a transformation layer that reconciles differences between independent map data versions, enabling accurate caution zone positioning without requiring synchronized map updates.
2Measurement precision
If complex coordinate transformation processing is used to correct positional displacement, then position accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent applies local quality by focusing the correction process only on the specific road segment containing the caution zone, rather than performing global coordinate transformations. The scaling factor is calculated and applied locally to the relevant distance measurement, simplifying processing while maintaining accuracy for the critical caution zone positioning.
Solution Approach 2:
The patent extracts only the essential correction element (scaling factor) needed to resolve positional displacement, rather than implementing full coordinate transformation systems. By isolating and applying just the necessary scaling adjustment to distance measurements, the system achieves position accuracy without the complexity of comprehensive transformation processing.
Data Source
AI summary
A processor stores map data that includes position data on a plurality of intersections connected to a plurality of roads; receives road traffic information that includes starting-point position data indicating a starting point of a first zone, end-point position data indicating an end point of the first zone, first distance information indicating a length of the first zone, and second distance information indicating a length from a starting point or end point to a start position or a tail end of a caution zone where there is a traffic jam or traffic control; and displays a map that shows the caution zone by the length corrected and indicated by the corrected second distance information.