Dynamic Risk Map Display Using Navigation Scores
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Solution Overview
Problem
Existing mapping services do not provide sufficient information for certain use cases, such as displaying dynamic or risk maps that incorporate real-time and historical data to optimize navigation routes based on factors like traffic, accidents, and weather.
Innovation Solution
A data processing system communicates with a map data processing system to generate a display of vehicle routes by calculating navigation scores for each route segment using historical and real-time data, determining colors based on these scores, and updating the map display in response to changes in real-time data, allowing for dynamic risk mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If mapping services display basic traffic conditions and driving routes, then the system is simple and easy to operate, but the information provided is insufficient for advanced use cases requiring dynamic risk mapping
Solution Approach 1:
The patent segments the routing information into multiple layers: basic route geometry, traffic conditions, historical accident data, real-time risk factors, and predictive analytics. Each layer can be independently processed and displayed, allowing the system to provide comprehensive information while maintaining modular complexity management
Solution Approach 2:
The mapping system is designed to perform multiple functions: traditional navigation, traffic monitoring, risk assessment, accident prediction, and route optimization. By integrating these diverse functions into a single platform that processes both historical and real-time data, the system eliminates information loss without requiring separate specialized systems
2Reliability
If the system integrates historical data and real-time data to calculate navigation scores, then route optimization improves, but processing time and computational resources increase
Solution Approach 1:
The system pre-processes historical data including accident records, traffic patterns, and road characteristics to create baseline risk profiles for different route segments. This preliminary preparation allows real-time risk assessment to build upon pre-computed foundations, significantly reducing the computational time required during actual navigation while maintaining high route optimization accuracy
Solution Approach 2:
The patent dynamically adjusts the weight and importance of different data parameters based on current navigation context. For example, during inclement weather, weather-related risk parameters are weighted higher, while during normal conditions, historical accident data receives more weight. This adaptive parameter weighting optimizes processing efficiency by focusing computational resources on the most relevant factors for each situation
3Measurement precision
If the map display updates in real-time based on changing conditions, then navigation accuracy improves, but the complexity of data processing and display updates increases
Solution Approach 1:
The system implements periodic updates of the map display at strategically determined intervals rather than continuous real-time updates. Update triggers are based on significant threshold changes in risk scores, traffic conditions, or route segments. This periodic action maintains high navigation accuracy by updating when it matters most while avoiding the computational overhead of constant continuous updates
Solution Approach 2:
The patent applies different update frequencies and detail levels to different regions of the map based on their current risk status and relevance to the user's route. High-risk areas or areas near the vehicle's current location receive more frequent and detailed updates, while distant low-risk areas are updated less frequently. This local quality approach maintains navigation accuracy for critical areas while reducing overall system complexity
Data Source
AI summary
Systems and methods are disclosed for generating a display of a navigation map. The system may comprise a historical data source device having, for example, a historical data source computer and a database storing historical data associated with one or more of vehicle accident data, traffic data, vehicle volume data, vehicle density data, road characteristic data, or weather data. The system may comprise a map data processing device having a map data processing computer and memory storing computer-executable instructions that, when executed by the map data processing computer, cause the map data processing device to, for example, determine, based on a location determining device, a location of a vehicle. The map data processing system may determine one or more historical factors based on the location of the vehicle. The map data processing system may receive, from the historical data source device and for the location, historical data associated with the one or more historical factors. Based on the location of the vehicle, one or more real time factors and real time data associated with the one or more real time factors may be calculated. The map data processing system may calculate, using the one or more historical factors and the one or more real time factors, a navigation score for each segment of a route from the location to a destination location. The map data processing system may determine one or more colors for each navigation score and/or generate a display of a navigation map comprising the one or more colors.