Urban Navigation System Integrating Multi-Modal Routing and User Feedback
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Solution Overview
Problem
Current navigation systems are inadequate for urban areas, particularly for users without cars, as they fail to integrate walking, mass transit, and driving directions seamlessly, lack standard data schemas for transit authorities, and do not incorporate user feedback or local knowledge effectively.
Innovation Solution
A fully integrated system that provides walking, mass transit, and driving directions, incorporating user preferences, current congestion data, and feedback, using a database that integrates multiple data sources and allows for user feedback to enhance route calculations, accessible through various interfaces including web services and mobile devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If navigation systems provide comprehensive routing information for multiple transportation modes, then the system complexity increases, but the navigation accuracy and user satisfaction improve
Solution Approach 1:
The patent segments the navigation system into distinct modules: a routing module that generates route options, a feedback module that collects user ratings, and an integration module that combines both data sources. This segmentation allows the system to handle multiple transportation modes (walking, mass transit, driving) without overwhelming complexity, as each mode can be processed by specialized sub-routines within the routing module.
Solution Approach 2:
The system implements feedback loops where user ratings on route quality, transportation reliability, and local conditions are collected and continuously integrated into route calculations. This feedback mechanism allows the system to improve routing accuracy over time by learning from actual user experiences, rather than relying solely on theoretical path optimization.
2Loss of information
If the system integrates multiple data sources including user feedback, then the information completeness improves, but the data processing complexity increases
Solution Approach 1:
The patent merges traditional navigation data sources (maps, transit schedules, traffic data) with user-generated feedback data into a unified database structure. This integration allows the system to access both objective routing information and subjective user experiences simultaneously, providing comprehensive route planning that considers both efficiency and user preference without requiring separate processing systems.
3Productivity
If the system incorporates real-time congestion data and user preferences, then the route optimization improves, but the computational requirements increase
Solution Approach 1:
The system performs preliminary routing calculations based on historical data and typical user preferences before real-time congestion data becomes available. When real-time data arrives, the system makes incremental adjustments to pre-computed routes rather than recalculating from scratch, significantly reducing computational energy requirements while maintaining route optimization quality.
Data Source
AI summary
Embodiments disclose methods, systems, and apparatuses for providing maps and directions, including walking and mass transit directions in urban environments where users do not drive cars. Additionally, driving directions can be included. Various criteria, including preferences for amount of walking, for or against particular streets, certain mass transit vehicle types, number of transfers between mass transit vehicles, and other preferences, are considered in the routing calculations, as well as non-individual information such as current conditions and other information. User feedback on various qualitative aspects of the directions is received and stored, and used in subsequent routing decisions. Embodiments disclosed include web services whereby third parties, such as members of the travel industry, can access such services which provide textual and graphical information. Further, clients can access and edit mass transit information through the web services.