Mixed Mode Traffic Map Display for Navigation Clarity
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Solution Overview
Problem
Current map display formats, which use colored lines to represent traffic conditions, can be confusing for users due to high cognitive load and ambiguity, especially in areas with insufficient data or complex road networks.
Innovation Solution
A system that classifies travel segments into class levels and presents traffic flow information using link-based and heat-map representations, or a combination thereof, to provide a clearer and more comprehensible user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If link-based traffic flow representation is used for all travel segments, then traffic information can be displayed, but user confusion increases and cognitive load increases in complex road networks
Solution Approach 1:
The patent segments travel segments into different class levels (first class level for highways, second class level for local roads) and applies different representation methods to each segment type. This segmentation allows the system to use link-based representation for highways while using heat-map representation for local roads, thereby maintaining information clarity while reducing overall cognitive load.
Solution Approach 2:
The patent applies different display qualities and representation methods to different spatial locations based on their characteristics. High-function class roads receive link-based representation with specific traffic flow indicators, while low-function class roads receive heat-map representation. This local quality approach ensures that each area is displayed with the most appropriate method for its specific context.
2Loss of information
If detailed link-based representation is used for all roads, then comprehensive traffic data can be shown, but device complexity and data processing requirements increase
Solution Approach 1:
The patent divides the road network into segmented classes based on function and importance. This segmentation enables the system to process and display data at different levels of detail appropriate to each segment type, reducing overall data processing complexity while maintaining completeness of traffic information.
Solution Approach 2:
The patent applies detailed link-based representation only where necessary (high-function class roads), rather than uniformly across all roads. This partial action approach maintains comprehensive traffic data where needed while reducing device complexity and data processing requirements in areas where such detail is not necessary.
3Ease of operation
If heat-map representation is used for all travel segments, then cognitive load is reduced, but traffic flow information clarity is lost in high-function class roads
Solution Approach 1:
The patent applies heat-map representation specifically to low-function class roads where it reduces cognitive load, while simultaneously applying link-based representation to high-function class roads where traffic flow information clarity is critical. This local quality differentiation ensures that each road type receives the representation method most suited to its characteristics.
Solution Approach 2:
By segmenting the road network into different functional classes, the patent enables the use of heat-map representation for local roads without sacrificing traffic flow information clarity on highways. The segmentation allows optimal representation methods to be applied to each segment type independently.
4Ease of operation
If mixed mode representation is implemented, then navigation clarity is enhanced, but device complexity increases
Solution Approach 1:
The patent segments travel segments into distinct class levels with clearly defined criteria for classification. This segmentation provides a structured framework that simplifies the implementation of mixed mode representation, as the system only needs to determine which class level each road belongs to and apply the corresponding representation method.
Solution Approach 2:
The patent creates a universal classification system that can handle multiple road types and representation methods through a single unified approach. The class level classification framework serves as a multi-functional mechanism that automatically determines the appropriate representation method based on road characteristics, reducing the need for separate handling logic for each road type.
Data Source
AI summary
An approach is provided for presenting comprehensible representation of traffic flow information for various travel segments based on class levels. The approach involves causing, at least in part, a classification of one or more travel segments into one or more class levels. The approach also involves causing, at least in part, a designation of one or more representations of traffic flow information for the one or more travel segments based, at least in part, on the one or more class levels, wherein the one or more representations include, at least in part, a link-based traffic flow representation, a heat-map representation, or a combination thereof. The approach further involves causing, at least in part, a presentation of at least one user interface depicting the one or more representations of the traffic flow information for the one or more travel segments based, at least in part, on the designation.