Train Departure Strategy Simulation for Automatic Driving
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Solution Overview
Problem
Current automatic train driving systems do not provide the ability to display simulated train departure strategies prior to engaging a selected strategy, limiting operators' ability to preview and optimize train operations.
Innovation Solution
A system that generates and displays simulated train departure strategies using an analytics engine, allowing operators to select and engage the optimal strategy for train operation from a stationary position, incorporating real-time data and geo-fence information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If automatic train driving systems engage a selected departure strategy without simulation, then operational speed is improved, but operational reliability deteriorates due to lack of preview capability
Solution Approach 1:
The system performs simulation of departure strategies before actual engagement to allow operators to preview and select optimal strategies. The analytics engine generates multiple simulated departure strategies and presents them to operators prior to execution, enabling informed decision-making while maintaining operational efficiency.
2Reliability
If simulation and selection of departure strategies is implemented, then operational reliability is improved, but time consumption increases due to additional preview steps
Solution Approach 1:
The system generates multiple departure strategies with varying degrees of simulation detail, allowing operators to select the appropriate level of analysis based on operational needs. Not all strategies require full simulation, enabling balance between thoroughness and time efficiency.
3Adaptability or versatility
If multiple simulated departure strategies are generated and displayed, then adaptability is improved, but device complexity increases due to additional analytics and display functions
Solution Approach 1:
The analytics engine serves multiple functions: generating departure strategies, simulating their performance, evaluating operational parameters, and presenting results to operators. This multi-functionality reduces the need for separate systems while enhancing adaptability across different operational scenarios.
Data Source
AI summary
A system includes one or more processors and memory coupled to the one or more processors, storing processor-executable instructions that cause the one or processors to perform operations. The operations include, prior to a train departing from a departure location: generating, one or more train departure strategies for a segment of a trip for the train traveling on a track from the departure location where the train is stationary, displaying information associated with the segment of the track, playing a simulation of the train traveling on the track over the segment based on the one or more train departure strategies, the simulation beginning from when the train is stationary at the departure location; receiving a selection of a train departure strategy, and engaging the selected train departure strategy for operating the train from the departure location where the train is stationary.