Rail Vehicle Route Deviation Detection Using Averaged Distance Data
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Solution Overview
Problem
Existing methods for detecting deviations from a planned vehicle route are not sufficiently reliable and easy to implement.
Innovation Solution
A method that calculates distance values from location and route data, averages these values, and generates an error signal when they exceed predetermined limits, using statistical or artificial intelligence methods to determine route deviations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If distance values from location data are directly used to detect route deviations, then the detection is simple, but the reliability is insufficient due to statistical uncertainties and location errors
Solution Approach 1:
The patent applies preliminary action by pre-defining the planned route as a reference framework before the vehicle journey begins. The route data is stored in advance, establishing a baseline against which actual location data can be compared. This preliminary setup enables reliable deviation detection without requiring complex real-time calculations, as the reference structure is already in place.
Solution Approach 2:
The patent implements feedback by continuously comparing actual location data with the planned route data during the journey. The control unit receives location data, calculates distances to the planned route, and generates error signals when deviations exceed predetermined limits. This closed-loop feedback mechanism maintains reliability by constantly monitoring and adjusting the deviation detection process based on actual vehicle position.
2Reliability
If location data is averaged to improve reliability, then the detection becomes more reliable, but the response time increases and recent deviations may be diluted
Solution Approach 1:
The patent applies partial action by averaging only a predetermined number of recently recorded location data points rather than all historical data. This selective averaging maintains reliability through statistical significance while limiting the time window to ensure timely detection. The control unit processes only the necessary recent data points, avoiding excessive computation delays.
Solution Approach 2:
The patent implements dynamics by making the averaging window adaptive rather than fixed. The control unit can adjust which recent location data points are included in the average based on the vehicle's current state and the nature of the deviation. This dynamic approach allows the system to balance reliability and response time flexibly, incorporating enough data for statistical confidence while excluding overly distant historical data that would dilute recent deviations.
3Measurement precision
If multiple location data points are processed to ensure accuracy, then the detection precision improves, but the computational complexity increases
Solution Approach 1:
The patent extracts only the essential information needed for deviation detection from the location data. Instead of processing all location data points in full detail, the control unit extracts distance values representing the perpendicular distance from the vehicle to the planned route. This extraction simplifies the data to the critical dimension for route deviation, reducing computational complexity while maintaining measurement precision.
Solution Approach 2:
The patent applies parameter changes by transforming the complex multi-dimensional location data into a single primary parameter - the distance value representing deviation from the planned route. By converting multiple coordinates and calculations into this single meaningful parameter, the system achieves high measurement precision for route deviation while significantly reducing the computational complexity required for processing.
Data Source
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AI summary
The invention relates to a method for operating a vehicle. According to the invention, using the positional data (0) specifying the respective location of the vehicle during the journey and route data (SD) stored in the vehicle for a planned route (30) to be travelled, distance values (di) are calculated, which specify during the journey the respective distance of the vehicle from the planned route (30) to be travelled, and an error signal (F) is generated, if the distance values (di) indicate the vehicle has left the planned route (30) to be travelled.