Positive Train Control Data for Navigation Routing
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Solution Overview
Problem
Current navigation services fail to accurately predict vehicle routes due to the lack of consideration for railroad traffic and train schedules, leading to inadequate prediction of traffic conditions at rail grade crossings and other railroad structures.
Innovation Solution
A system and method that utilizes real-time Positive Train Control (PTC) data, including train speed and location, to generate predictive train location data, which is then transmitted to navigation services to help determine optimal routes for road vehicles, avoiding potential congestion at rail crossings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If navigation services use traditional GPS-based routing without railroad data, then the navigation system remains simple and easy to operate, but it cannot accurately predict traffic conditions at rail grade crossings
Solution Approach 1:
The patent introduces an intermediary component that collects railroad traffic data from external sources and translates it into a format usable by navigation services. This mediator layer integrates railroad data without requiring fundamental changes to the core GPS navigation system, thereby improving prediction accuracy while limiting the increase in system complexity.
Solution Approach 2:
The navigation system is segmented into independent modules: the core GPS routing function remains separate from the railroad data integration component. This allows the navigation service to selectively incorporate railroad data only when needed for predictions near rail grade crossings, improving accuracy without making the entire system complex.
2Reliability
If navigation services integrate real-time railroad data, then predictive routing accuracy improves, but data processing complexity and computational requirements increase
Solution Approach 1:
The system pre-processes railroad data by organizing it into structured formats with predefined parameters for train location, speed, and scheduled stops. This preliminary organization reduces the computational burden during real-time route predictions, as the data is already prepared and indexed for quick retrieval and analysis.
Solution Approach 2:
The patent transforms raw railroad data into standardized parameters that are directly applicable to navigation calculations. By changing the data representation into specific parameters (such as train position relative to crossing points, predicted arrival times, and speed profiles), the system improves reliability while simplifying the processing required for route predictions.
3Loss of information
If navigation services collect and process railroad traffic data, then traffic condition prediction at rail crossings improves, but data management complexity increases
Solution Approach 1:
The patent creates a universal data interface that can accommodate multiple sources of railroad information (real-time GPS data, scheduled train timetables, historical traffic patterns) through a single standardized framework. This multi-functional approach allows the system to integrate diverse data types without requiring separate management systems for each data source, thereby improving information completeness while controlling data management complexity.
Data Source
AI summary
A method includes generating PTC data for at least a portion of a track network, the PTC data comprising real-time train data generated by an on-board system of a train traveling in the track network, the real-time train data comprising a train speed and a train location, generating predictive train location data based at least partially on the PTC data, the predictive train location data comprising at least one upcoming location of the train associated with at least one time; and transmitting at least a portion of the predictive train location data to at least one navigation service in response to receiving a request, the request comprising at least one of the following: a route, an intersection, a rail crossing, geographic coordinates, or any combination thereof.