Dynamic Train Movement Planning Using Real-Time Network Data
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Solution Overview
Problem
Current train scheduling systems are myopic, lacking insight into the entire railroad network and relying on static train schedules and fixed priorities, which leads to inaccurate movement plans due to insufficient dynamic information about train characteristics and route conditions.
Innovation Solution
A database integrating management information systems, field sensors, and dispatch inputs provides real-time train and route attributes, enabling dynamic movement planning that accounts for changing train and line conditions, thereby generating accurate and optimized movement plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static train schedules and fixed priorities are used for movement planning, then the planning process is simple and computationally efficient, but the accuracy and adaptability of movement plans deteriorate due to insufficient dynamic information
Solution Approach 1:
The patent implements dynamic movement planning by continuously updating train characteristics (weight, length, power, braking capacity) and line attributes (grades, curves, speed limits) along the route. The planning system transitions from static schedules to dynamic plans that adapt to changing conditions, with train attributes being recalculated at each planning segment based on current consist composition and environmental factors
Solution Approach 2:
The system incorporates feedback mechanisms where actual train performance data and changing line conditions are fed back into the planning process. The movement plan is continuously refined based on real-time information about train characteristics and route attributes, allowing the system to correct and improve plans as new information becomes available during train progression
2Measurement precision
If detailed dynamic information about train characteristics and line attributes is collected and processed, then the accuracy of movement plans is improved, but the device complexity and computational load increase
Solution Approach 1:
The patent divides the movement planning process into discrete segments corresponding to different line sections or blocks. Train characteristics and line attributes are evaluated separately for each segment, allowing complex dynamic analysis to be broken down into manageable portions. This segmentation enables the system to handle detailed information without being overwhelmed by overall system complexity
Solution Approach 2:
The system performs preliminary calculations of train characteristics (such as acceleration, braking distances, and power requirements) based on forecasted consist composition and known line attributes before actual movement begins. This advance preparation reduces the computational burden during real-time operation, as much of the complex analysis is completed in advance when full information is available
3Ease of operation
If movement plans are created with fine grain structure including precise timing and control details, then the controllability and precision of train movement is improved, but the difficulty of detecting and measuring actual performance increases
Solution Approach 1:
The patent establishes detailed movement plans with precise timing, speed profiles, and control parameters in advance, before actual train operation begins. These pre-calculated plans serve as reference trajectories that are relatively simple to monitor and measure during execution, as the expected values are already determined and can be directly compared with actual sensor measurements
Data Source
AI summary
A method of planning the movement of plural trains through a rail network using a database of dynamic planning attributes reflecting the current conditions of the train and rail network.