Automatic Stop Distance Correction Using Historical Error Feedback
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Solution Overview
Problem
Existing automatic train operation (ATO) systems struggle to achieve a precise stop accuracy within ±10 cm, with most systems only supporting ±30 cm or ±50 cm, necessitating significant manpower and resources for manual adjustments.
Innovation Solution
A method and apparatus that utilize historical stop error values to calculate a target distance correcting value, correcting the target distance value to improve precision, and perform automatic stops based on the corrected value, using a formula that averages past stop error values to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional benchmark stop method is used, then the ATO system can perform automatic stop, but the stop precision only reaches ±30 cm or ±50 cm, failing to meet the ±10 cm requirement
Solution Approach 1:
The patent implements feedback by collecting historical stop error data from previous operations and using it to dynamically correct the target distance value for current stops. The system continuously monitors stop accuracy and adjusts the target distance based on accumulated error patterns, enabling the system to achieve ±10 cm precision through iterative learning without hardware modifications.
Solution Approach 2:
The patent changes the parameter of target distance value from a fixed benchmark value to a dynamically corrected value. By introducing a correction value derived from historical error data, the system transforms the static target distance parameter into an adaptive parameter that automatically adjusts to compensate for systematic errors, achieving higher precision without increasing device complexity.
2Measurement precision
If manual adjustments are made to meet stop precision requirements, then stop accuracy can be improved, but significant manpower and resources are consumed
Solution Approach 1:
The patent enables the ATO system to self-correct its stop accuracy by automatically utilizing its own historical error data. The system performs self-diagnosis and self-adjustment by calculating correction values from its operational history, eliminating the need for manual intervention and external resource allocation while maintaining continuous improvement of stop precision.
Solution Approach 2:
The patent performs preliminary action by pre-calculating correction values based on historical data before executing the current stop operation. The system accumulates error data from previous stops and prepares correction parameters in advance, allowing the current stop to benefit from learned experiences without real-time manual adjustment, thereby improving both accuracy and operational efficiency.
3Measurement precision
If research and development investment is increased to meet precise stop requirements, then stop precision within ±50 cm can be achieved, but achieving ±10 cm remains a difficult problem
Solution Approach 1:
The patent replaces mechanical or hardware-based precision improvement approaches with a software-based data processing system. Instead of investing in more complex positioning hardware or undergoing extensive onsite trials, the system uses computational methods to process historical error data and generate correction values, achieving ±10 cm precision through information processing rather than physical system complexity.
Data Source
AI summary
A method for automatic stop comprises: acquiring a target distance correction value, wherein the target distance correction value is determined according to a historical parking error value before a target moment, and the target moment is the time when the target distance correction value is stored; correcting an acquired target distance value according to the target distance correction value, so as to obtain a corrected target distance value, wherein the target distance value is the value of the distance between the current position of a vehicle and a target parking position; and according to the corrected target distance value, executing the present instance of automatic parking. An automatic parking apparatus may be used to carry out such a method.