Navigation System Adaptive Routing Parameter Update
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Solution Overview
Problem
Navigational guidance systems face challenges in accurately updating routing parameters to account for user vehicle routing restrictions, particularly when switching between different modes of transport, leading to potential safety hazards and inefficient routes due to incorrect parameter settings.
Innovation Solution
The method involves obtaining and analyzing route traces of previously traveled routes to update initial routing parameters, using machine learning algorithms to determine appropriate parameters based on road segment attributes, and identifying the mode of transport to generate optimized routes that adhere to specific restrictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If routing parameters are manually configured by users, then users can specify their preferences, but the system cannot automatically adapt to user behavior and transport mode changes
Solution Approach 1:
The system automatically detects user transport mode and updates routing parameters without user intervention. The processor monitors route trace data and autonomously configures routing settings based on detected patterns, eliminating the need for users to manually adjust parameters when switching transport modes.
Solution Approach 2:
The system uses feedback from route trace data to continuously improve routing parameter configuration. By analyzing historical route data and detected transport modes, the system adjusts routing parameters to match user behavior patterns, creating a closed-loop adaptive system.
2Measurement precision
If the system provides detailed routing parameters, then route accuracy improves, but the complexity of the system increases
Solution Approach 1:
The system automatically detects transport mode from route trace data and configures appropriate routing parameters without requiring complex user input or manual configuration. The processor autonomously selects and applies routing parameters based on detected patterns, maintaining high route accuracy while simplifying the user interface.
3Reliability
If routing parameters are not updated dynamically, then system simplicity is maintained, but safety hazards occur due to inappropriate routes
Solution Approach 1:
The system automatically detects when transport mode changes and updates routing parameters accordingly. The processor monitors route trace data, identifies transport mode transitions, and autonomously reconfigures routing parameters to ensure safe and appropriate route generation without user intervention.
Solution Approach 2:
The system proactively updates routing parameters before generating new routes based on detected transport mode changes. By continuously monitoring route trace data and detecting mode transitions in advance, the system ensures routing parameters are already configured appropriately when the user requests navigation.
Data Source
AI summary
A method (and corresponding systems) of navigational guidance for a navigational system, the method includes the following steps. Obtaining one or more route traces of previously travelled routes of a user of the navigational system, each route including a plurality of road segments. Updating an initial set of routing parameters of the navigational system based on attributes of the road segments of the previously travelled routes; generating, based on the updated set of routing parameters, a route between an initial location and a requested destination location. Providing navigational guidance to the user for following the generated route, based on the generated route and a current location of the user.