Route Forecast User Interface for Navigation Systems
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Solution Overview
Problem
The complexity of navigation services leads to an overwhelming number of routing choices, making it difficult for users to quickly comprehend and select the best route using existing user interfaces, as they need to evaluate reachability forecasts across various transportation modes.
Innovation Solution
A route forecast user interface is introduced, which determines target geographic points and times of arrival, calculates reachability forecasts based on transportation parameters, and presents the results in a calendar-based interface, using visual cues to indicate the likelihood of reaching destinations on time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If navigation services provide comprehensive routing recommendations with multiple transportation modes, then the completeness and versatility of routing information is improved, but the complexity of the user interface and the difficulty of quick comprehension increases
Solution Approach 1:
The patent segments the complex routing information into distinct visual components within the calendar interface. Each routing choice is represented as a separate visual element (e.g., colored bars, icons, or time blocks) that can be independently evaluated. This segmentation allows users to process multiple routing options simultaneously without being overwhelmed by a monolithic display, effectively reducing perceived interface complexity while maintaining comprehensive routing information.
Solution Approach 2:
The patent transforms traditional linear routing information into a two-dimensional calendar visualization. Instead of presenting routes as sequential text or linear timelines, the system maps routing options across the calendar grid, utilizing both horizontal (time) and vertical (routing mode/destination) dimensions. This dimensional transformation enables users to grasp multiple routing choices and their temporal relationships at a glance, reducing cognitive load while preserving comprehensive routing data.
2Loss of information
If navigation services present detailed routing choices and reachability forecasts, then the information completeness is improved, but the time required for users to evaluate and select routes increases
Solution Approach 1:
The patent performs preliminary calculation and visualization of reachability forecasts before user interaction. The system pre-computes arrival times, traffic conditions, and routing feasibility for multiple transportation modes and displays them in the calendar interface in advance. This preliminary action allows users to make informed routing decisions without performing real-time calculations or sequential evaluations, significantly reducing route selection time while maintaining complete routing information.
Solution Approach 2:
The patent employs color-coding to encode different routing attributes (e.g., on-time probability, transportation mode, arrival time) in the calendar visualization. Each routing option is represented with distinct colors or color intensities that immediately convey critical information about reachability and preferences. This visual encoding allows users to rapidly compare multiple routing choices and identify optimal routes through intuitive color perception rather than reading detailed numerical data, thereby reducing evaluation time while preserving comprehensive routing information.
Data Source
AI summary
An approach is provided for a route forecast user interface. The approach involves determining at least one target geographic point and at least one target time of arrival at the at least one target geographic point. The approach also involves causing, at least in part, a calculation of at least one reachability forecast with respect to one or more transportation parameters. The at least one reachability forecast indicates whether at least one user can reach the at least one target geographic point at the at least one target time from at least one starting location, at least one starting time, or a combination thereof with respect to the one or more transportation parameters. The approach further involves causing, at least in part, a generation of one or more representations of the at least one reachability forecast. The approach further involves causing, at least in part, a presentation of the one or more representations in at least one calendar-based user interface.