Vehicle Route Data Handling Using Segment Identifiers
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Solution Overview
Problem
Existing methods for processing trip information in vehicles require significant storage space and computational effort due to the accumulation of complete route data, making them inefficient.
Innovation Solution
A method that assigns identifiers to separate route segments, generating data records at junctions containing the starting and subsequent segment information, which are stored in a database to reduce storage space and computing effort, allowing for efficient route prediction by using only the necessary data records.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complete routes are stored in a database from start to destination, then route prediction accuracy is improved, but storage space and computational effort increase significantly
Solution Approach 1:
The patent divides complete routes into individual route segments separated by nodes. Instead of storing entire routes from start to destination, the system stores only individual segments with unique identifiers. This segmentation allows the database to maintain route prediction capabilities while using significantly less storage space, as segments can be reused across multiple different routes.
Solution Approach 2:
The patent extracts only the essential information needed for route prediction - specifically the sequence of route segment identifiers - while discarding redundant data such as complete route descriptions, absolute positions, and other non-essential attributes. This extraction principle enables the system to maintain prediction accuracy with minimal stored data.
2Measurement precision
If complete routes are stored in a database, then route analysis is improved, but data processing becomes computationally intensive and complicated
Solution Approach 1:
By segmenting routes into discrete, identifiable units with unique identifiers, the system enables efficient computational processing. When analyzing routes, the system only needs to compare and match segment identifiers rather than processing entire route datasets, dramatically reducing computational complexity and power requirements.
Solution Approach 2:
The patent uses simple identifier copies of route segments rather than storing complete route data. These identifier copies can be quickly retrieved, compared, and processed without the computational burden of handling full route information, enabling efficient route prediction and analysis with minimal processing power.
3Quantity of substance
If individual route segments are stored instead of complete routes, then storage space is reduced, but route prediction capability may be compromised
Solution Approach 1:
Each stored route segment identifier serves multiple functions: it represents a specific geographic segment, enables route reconstruction when combined with other segments, supports frequency analysis, and facilitates route prediction. This multi-functionality allows the system to maintain full route prediction capability using only compact segment identifiers rather than complete route data.
Solution Approach 2:
The system pre-processes routes by extracting and storing only the essential segment identifiers in advance. This preliminary action prepares the data in a format that enables quick retrieval and efficient route prediction without requiring storage of complete route information, thus maintaining prediction capability while minimizing storage requirements.
Data Source
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AI summary
The present invention relates to a method and a device for processing driving information in a vehicle, wherein, during the traversing of a route by the vehicle, the vehicle's position is recorded and processed to obtain data characterizing this route, wherein the method comprises the following steps: assigning, for a predetermined route network of separate route segments separated from each other by nodes, an identifier to each route segment, and generating a data record after the vehicle has crossed a node, wherein the data record comprises at least the identifier of the route segment traveled by the vehicle before reaching the node in a first data field and the identifier of the route segment traveled by the vehicle after reaching the node in a second data field.