Unified Navigation Search for Multi-Stop Routing
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Solution Overview
Problem
Current navigational systems are inefficient for finding multiple types of destinations, such as gas stations, pharmacies, and restaurants, along a travel route, as users must manually search for each type separately, leading to inaccuracies and inefficiencies, especially when incorporating brand-specific or pricing information.
Innovation Solution
A navigation system that allows users to query multiple destination types simultaneously, providing results based on proximity and pricing, with the ability to filter and prioritize results, and update locations in real-time, using a processor to determine current and updated locations and result sets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually search for each destination type separately using traditional navigational systems, then they can find individual destinations, but the search process becomes time-consuming and inefficient
Solution Approach 1:
The patent combines multiple separate destination searches into a single unified search operation. The system simultaneously searches for multiple destination types (gas stations, restaurants, hotels, etc.) along the route by merging individual search queries into one comprehensive search that returns all relevant destinations in a single operation, eliminating the need for sequential manual searches.
Solution Approach 2:
The navigational system is enhanced with multi-functionality to handle diverse destination types through a single search interface. The system can search for multiple categories of destinations (fuel stations, dining options, lodging, shopping) simultaneously using one unified search function, making the system versatile enough to replace multiple specialized search operations.
2Measurement precision
If traditional navigational systems provide basic destination location, then simple routing is possible, but accuracy in finding specific brand or pricing options is insufficient
Solution Approach 1:
The system applies local quality by providing differentiated search results with specific attributes for different destination types. Each destination in the results can have unique properties such as brand name, price range, ratings, and specific amenities, allowing users to precisely filter and identify the exact type of destination they need rather than receiving generic location data.
Solution Approach 2:
The search system is made dynamic by allowing users to adjust filters and criteria (such as price ranges, brand preferences, distance thresholds) in real-time based on their needs. The system adapts the search parameters and re-runs queries dynamically, providing updated results as users refine their requirements, rather than requiring a static pre-defined search.
3Adaptability or versatility
If navigational systems search for multiple destination types, then comprehensive results are possible, but system complexity increases
Solution Approach 1:
The complex search system is segmented into modular components: a destination type database that stores multiple categories, a filter module that handles various criteria (brand, price, distance), a search engine that processes queries, and a results presentation layer. This segmentation allows the system to handle multiple destination types without creating unmanageable complexity, as each component can be independently developed and maintained.
Solution Approach 2:
The system introduces an intermediary layer (the unified search interface and result aggregation module) that mediates between the user's simple search request and the complex backend processing of multiple destination types. This intermediary handles the complexity of coordinating multiple searches, filtering criteria, and result consolidation, presenting a simplified interface to users while managing the underlying complexity.
Data Source
AI summary
Systems, methods, and media for enhanced navigation are provided. A method may include determining a current location based upon received location data. The method may also comprise receiving query data requesting a plurality of destination types. The method may further comprise determining a result set comprising a plurality of locations corresponding to destination types within a first threshold distance of the current location. The method may additionally comprise returning a result subset comprising a plurality of the result set destination types based upon a second threshold distance that differs from the first threshold distance, wherein the second threshold distance is a distance between each of the requested destination types within the result subset or a common location and each of the requested destination types within the result subset. The method updating the current location, the result set, and the result subset based upon receiving updated location data.