Dynamic Navigation Route Updates via User Exception Data
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Solution Overview
Problem
Current navigation and mapping services on mobile devices do not account for real-time conditions such as traffic jams, construction, or inclement weather, as the data is static and does not reflect the actual behavioral patterns of users encountering obstacles while traveling.
Innovation Solution
A system that processes travel information from multiple devices to identify deviations from predetermined routes and updates mapping and route information in real-time based on exception data reported by users, incorporating area weighting, user weighting, and exception weighting to provide alternative routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static navigation data is used, then the system is simple and easy to maintain, but the route information does not reflect real-time conditions such as traffic jams, construction, or weather
Solution Approach 1:
The system implements feedback by collecting exception data from multiple user devices that deviate from predetermined routes, processing this feedback information, and using it to dynamically update navigation data. This closed-loop feedback mechanism ensures route reliability reflects real-time conditions while maintaining manageable system complexity through automated processing.
Solution Approach 2:
The navigation system transitions from static to dynamic operation by continuously updating route information based on real-time exception data from user devices. The system adapts navigation data dynamically without requiring complex manual intervention, resolving the contradiction between reliability and complexity.
2Measurement precision
If real-time exception data from multiple devices is processed, then route information accuracy improves, but the processing complexity and computational requirements increase
Solution Approach 1:
The system merges exception data from multiple user devices into consolidated navigation updates. By combining data sources and processing them collectively rather than individually, the system achieves high route information accuracy while reducing overall processing complexity through data aggregation and shared processing logic.
Solution Approach 2:
User devices automatically generate and transmit exception data without requiring manual input or complex processing at the user end. The system self-services by collecting, processing, and distributing updates autonomously, improving accuracy while keeping individual device complexity low.
Data Source
AI summary
An approach for providing mapping information and route information based on exception information received from various users travelling within a common area is described. A navigation system processes travel information associated with one or more devices for comparison against predetermined route information. The navigation system also determines one or more exceptions based, at least in part, on the comparison. The predetermined route information, mapping information, or a combination thereof it then caused to be updated based, at least in part, on the processing of the one or more exceptions.