Predictive Data Transmission for Track-Bound Vehicles
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Solution Overview
Problem
The fluctuating availability of data transmission quality between track-bound vehicles and land-based devices poses challenges, particularly when real-time data transmission, such as live video, is required, leading to reservations and prioritization issues where non-critical data is deferred to critical data, which is disadvantageous for operators during live vehicle operations.
Innovation Solution
A method that predicts data transmission availability for upcoming sections of a journey using a land-based forecasting device, providing advisory information to users before reaching the affected area, allowing proactive adjustments and prioritization of data transfers based on predicted conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time data transmission is implemented between track-bound vehicles and land-based devices, then operators can access live vehicle operation data, but transmission quality fluctuates causing service disruptions and prioritization issues
Solution Approach 1:
The system performs preliminary actions by predicting data transmission availability for upcoming journey segments before the vehicle reaches them. The forecasting device analyzes historical data and current conditions to anticipate transmission quality issues in advance, allowing the system to prepare appropriate responses such as pre-buffering data, switching transmission modes, or alerting operators before disruptions occur.
Solution Approach 2:
The system implements feedback by continuously monitoring actual transmission quality against predicted availability and using this information to improve future predictions. The system compares forecasted transmission conditions with actual conditions experienced, refines its predictive models, and adjusts data transmission strategies based on the feedback loop between prediction and actual performance.
2Loss of information
If non-critical data (e.g., live video) is transmitted during journey segments with poor transmission quality, then real-time information is provided, but critical data transmission is compromised
Solution Approach 1:
The system performs preliminary actions by predicting data transmission availability for upcoming journey segments before the vehicle reaches them. The forecasting device analyzes historical data and current conditions to anticipate transmission quality issues in advance, allowing the system to prepare appropriate responses such as pre-buffering data, switching transmission modes, or alerting operators before disruptions occur.
Solution Approach 2:
The system dynamically changes transmission parameters such as data priority levels, transmission bitrate, and protocol selection based on predicted availability conditions. For upcoming segments with poor predicted quality, the system automatically adjusts parameters to prioritize critical data and reduce or defer non-critical data transmission, thereby maintaining overall transmission reliability while adapting to predicted conditions.
3Duration of action of stationary object
If data transmission is attempted in segments with predicted poor availability, then continuous communication is maintained, but transmission failures and service disruptions increase
Solution Approach 1:
The system performs preliminary actions by predicting data transmission availability for upcoming journey segments before the vehicle reaches them. The forecasting device analyzes historical data and current conditions to anticipate transmission quality issues in advance, allowing the system to prepare appropriate responses such as pre-buffering data, switching transmission modes, or alerting operators before disruptions occur.
Solution Approach 2:
The system applies preliminary anti-action by taking preventive measures before entering segments with predicted poor transmission quality. These measures include pausing non-essential data transmissions, pre-loading critical information, or switching to more robust communication protocols in advance of problematic segments, thereby preventing transmission failures rather than reacting to them after they occur.
Data Source
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AI summary
The invention relates to a method and system (1) for transmitting data between a track-bound vehicle (3) and a land-based facility (5) during a journey (D) of the track-bound vehicle (3). To improve the operation of the track-bound vehicle (3), the method involves transmitting data (E) between the track-bound vehicle (3) and the land-based facility (5) during the journey (D) of the track-bound vehicle (3). Location information, representing the current position of the track-bound vehicle (3) during the journey (D), is determined (F1). Availability information, representing the availability of data transmission, is predicted (G) for an upcoming journey segment (46, 47) using a land-based forecasting device (37) based on the location information.Before reaching the journey section (46, 47), information indicating a forecast is provided by means of an output device based on the forecasted availability information (H).