Navigation Turn Cost Correction for Intersection ETA
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Solution Overview
Problem
Conventional navigation systems face challenges in accurately estimating the time of arrival (ETA) due to the complexity of predicting traffic conditions, especially at intersections, which affects the generation of precise navigation instructions.
Innovation Solution
A system that retrieves sensor data and map data to determine a turn cost correction factor for intersections, updating navigation instructions and ETA by considering real-time and historical traffic data, allowing for accurate travel time calculations across intersections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional navigation systems estimate ETA based on simple travel time calculations, then the calculation process is simple and fast, but the accuracy of ETA is insufficient due to inability to account for complex intersection traffic conditions
Solution Approach 1:
The patent introduces a turn cost correction factor that modifies the base travel time by applying multiplicative adjustments based on intersection characteristics. This parameter change approach transforms simple travel time calculations into accurate ETA estimates by incorporating intersection traffic conditions through correction factors derived from historical data and real-time sensor information.
Solution Approach 2:
The system pre-calculates and stores turn cost correction factors for different intersection types and categories before they are needed for ETA estimation. By preparing these correction factors in advance based on historical traffic data and intersection characteristics, the system avoids complex real-time calculations while maintaining high accuracy in ETA predictions.
2Reliability
If the system incorporates detailed sensor data and map data processing to account for intersection traffic conditions, then the navigation instructions become more accurate, but the computational complexity and data processing requirements increase
Solution Approach 1:
The patent segments the complex task of ETA calculation into distinct components: base travel time calculation, intersection identification, correction factor selection, and final ETA computation. By dividing the problem into manageable segments, the system processes sensor data and map data in discrete steps, reducing overall computational complexity while maintaining accuracy.
Solution Approach 2:
The turn cost correction factor serves as an intermediary that bridges simple travel time calculations and complex intersection traffic conditions. Instead of directly processing all sensor data and map data for each ETA calculation, the system uses pre-computed correction factors as intermediaries that encapsulate intersection characteristics, simplifying the data processing pipeline.
3Adaptability or versatility
If the system uses real-time sensor data from multiple sources to determine turn cost correction factors, then the navigation instructions reflect current traffic conditions, but the data retrieval and processing time increases
Solution Approach 1:
The system performs preliminary processing of sensor data and map data to pre-compute and store turn cost correction factors for various intersection types. This advance preparation allows the system to quickly retrieve appropriate correction factors during real-time ETA calculations without re-processing raw sensor data, thus maintaining adaptability to traffic conditions while minimizing data processing time.
Solution Approach 2:
The system retrieves and processes only the specific sensor data and map data relevant to upcoming intersections rather than analyzing all available traffic data. By focusing on partial data sets that are most critical for ETA calculation, the system maintains responsiveness to dynamic traffic conditions while reducing overall data processing time and computational resources required.
Data Source
AI summary
A system, a method, and a computer program product may be provided for generating navigation instructions. The system may include a memory configured to store computer executable instructions and a processor configured to execute the computer executable instructions to retrieve sensor data associated with at least one vehicle travelling along a route having at least one intersection and map data associated with the route from a map database. The sensor data indicates intersection information relating to the at least one intersection. The intersection information comprises an intersection category and an intersection type. The map data comprises traffic-related information for a plurality of intersection connected links. The processor may be further configured to determine a turn cost correction factor for the at least one intersection, based on the sensor data and the map data. The processor may be further configured to store the turn cost correction factor within the map database.