Traffic Telematics Route Data Transmission with Probability-Based Junction Selection
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Solution Overview
Problem
Current traffic telematics methods face inefficiencies in transmitting vehicle trajectory data due to varying coordinate standards, leading to inaccurate map matching and excessive data transmission, especially when predicting microscopic routes, which can result in significant data redundancy and critical packet sizes.
Innovation Solution
The method determines and transmits only the relevant road connection points with assigned probabilities, using a tree structure representation and map-matching with AGORA-C referencing, limiting data to geo-reference information and link angles, allowing for accurate route prediction with reduced data redundancy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If coordinate sequences with high resolution are used to describe vehicle trajectories, then trajectory accuracy is improved, but data transmission volume increases significantly
Solution Approach 1:
The patent extracts only the essential elements for trajectory description - specifically road connection points and link angles - rather than transmitting complete coordinate sequences. This selective extraction maintains trajectory accuracy while dramatically reducing data volume by eliminating redundant coordinate information.
Solution Approach 2:
The trajectory is segmented into discrete road connection points and link angles rather than continuous coordinate data. This segmentation approach allows the trajectory to be reconstructed from minimal key points, reducing data transmission requirements while preserving accuracy.
2Measurement precision
If map matching with high resolution coordinates is performed, then trajectory accuracy is improved, but reliability of map matching deteriorates due to coordinate variations between map manufacturers
Solution Approach 1:
Instead of matching coordinates to the map (traditional approach), the patent inverts the approach by using road connection points and link angles as the primary reference that can be independently verified against map data, making the matching process more reliable across different map manufacturers.
Solution Approach 2:
The patent changes the reference parameters from absolute coordinates (which vary between map manufacturers) to relative geometric parameters (road connection points and link angles) that are more consistent across different map data sources, improving map matching reliability.
3Adaptability or versatility
If multiple probable trajectories are transmitted to ensure coverage, then route prediction completeness is improved, but data transmission volume increases and reaches critical packet sizes
Solution Approach 1:
The patent transmits only the most probable trajectory (partial action) rather than all possible trajectories, achieving sufficient route prediction completeness with minimal data. This selective transmission avoids the critical packet size issue while maintaining practical utility.
Data Source
Figure 1~2
AI summary
The invention relates to a method for making available traffic telematics information relating to the route (10) of a vehicle (1) which is moving on a road system (11) with multiple roads (12 to 21), wherein the roads (12 to 21) are connected to one another between road junctions (22 to 25), and wherein the method comprises at least the steps of determining a probability of the vehicle (1) approaching a respective road junction (22 to 25) and assigning said probability to the road junction (22 to 25), and of transmitting the road junctions (22 to 25) for which there is an increased probability of them being travelled along. Furthermore, the invention relates to a traffic telematics unit (2) for making available traffic telematics information relating to the route (10) of a vehicle (1) in order to carry out the method.