Landmark-Assisted Navigation POI Filtering by Travel Mode
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Solution Overview
Problem
Current navigation tools on computing devices often overwhelm users with excessive points of interest (POI) data, leading to confusion and wastage of computational and communication resources, as they present the same POI information to all users regardless of their travel mode.
Innovation Solution
A computer-implemented method that selectively displays POI data based on the user's travel mode by determining relevant POIs associated with landmark categories and presenting them only to users who will find them useful, using a machine learning model to predict road segment speeds specific to different vehicle types and providing enhanced navigation features like turn-specific graphics and detailed information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the same POI data is displayed to all users regardless of travel mode, then completeness of information is improved, but user confusion and resource waste increase
Solution Approach 1:
The patent applies local quality by tailoring POI display to specific travel modes. Different categories of POIs are selectively displayed based on the user's travel mode (e.g., pedestrian, vehicle, bicycle). For example, pedestrian routes may show restaurants and attractions, while vehicle routes may show gas stations and tolls. This ensures each user receives locally optimized information relevant to their specific context, reducing confusion while maintaining information completeness for each category.
Solution Approach 2:
The patent segments POI data into different categories based on travel mode relevance. The system divides the comprehensive POI database into multiple segments (e.g., dining, shopping, entertainment, fuel, maintenance) and selectively displays appropriate segments based on the user's declared travel mode. This segmentation allows the system to present complete information for relevant categories while omitting irrelevant categories, thereby reducing user confusion without losing essential information.
2Loss of information
If all POI data is retrieved and displayed, then information completeness is improved, but computational and communication resources are wasted
Solution Approach 1:
The patent extracts only the necessary POI data based on travel mode before transmission to the user's device. The server identifies and extracts relevant POI categories corresponding to the user's travel mode, then transmits only this extracted subset. This extraction process eliminates the need to retrieve, process, and transmit the entire POI database, significantly reducing computational and communication resource consumption while maintaining completeness of relevant information.
Solution Approach 2:
The patent implements partial action by retrieving and displaying only the portion of POI data that is necessary for the user's specific travel mode. Rather than performing the excessive action of processing and transmitting all POI data, the system performs partial processing focused on relevant categories. This approach maintains information completeness for the user's needs while avoiding the resource waste associated with handling unnecessary data.
3Loss of energy
If travel mode-specific POI filtering is implemented, then resource efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements self-service by having the user's device perform local filtering of POI data based on stored travel mode preferences. Rather than requiring the server to implement complex filtering logic for multiple travel modes, the system enables the client device to autonomously filter and display appropriate POI categories based on the user's declared travel mode. This self-service approach reduces server-side complexity while maintaining resource efficiency through client-side processing.
Data Source
AI summary
A computer-implemented method for providing landmark-assisted navigation guidance by selectively utilizing database information includes receiving navigation requests from one or more mobile computing devices, each of the requests being associated with a respective starting point, destination, and travel mode. For each navigation request, a corresponding route to be depicted in a corresponding digital map is determined. For each navigation request associated with a first travel mode, corresponding points of interest (POIs) are determined from among a plurality of POIs stored in a database. The corresponding POIs are determined based at least on whether the corresponding POIs are associated with any landmark category. For each navigation request associated with a second travel mode, corresponding POIs are determined irrespective of whether the corresponding POIs are associated with any landmark categories.