Navigation Mode Detection via Route Data Analysis
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Solution Overview
Problem
Navigational guidance systems face challenges in accurately accounting for vehicle routing restrictions, particularly when users switch between different modes of transport, leading to inappropriate routes and safety hazards due to incorrect routing parameter settings.
Innovation Solution
A method and system that identify the mode of transport by analyzing route data attributes such as road segment characteristics, sensor data, and progress indicators to determine the most likely mode of transport, allowing for dynamic adjustment of routing parameters and generation of suitable routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If routing parameters are manually configured by users, then routing settings can be customized, but users face difficulty obtaining recommended routes suitable for their particular restrictions due to the large parameter space and hidden contribution of routing settings
Solution Approach 1:
The system automatically detects the user's mode of transport by analyzing route data attributes and sensor data, and self-configures the routing parameters based on the detected mode. This eliminates the need for manual user configuration while ensuring accurate routing settings matched to the actual transport mode being used.
Solution Approach 2:
The system dynamically changes routing parameters based on the detected mode of transport. By automatically adjusting parameters such as vehicle type, weight limits, and route restrictions according to the detected transport mode, the system ensures accurate route recommendations without requiring manual user intervention.
2Adaptability or versatility
If users switch between different modes of transport, then routing flexibility is improved, but routing accuracy deteriorates due to incorrect routing parameter settings leading to inappropriate routes and safety hazards
Solution Approach 1:
The system continuously monitors route data attributes and sensor data to detect the actual mode of transport being used. This feedback mechanism allows the system to identify when the transport mode has changed and automatically adjust the routing parameters accordingly, ensuring continuous accuracy even as users switch between different modes of transport.
Solution Approach 2:
The system dynamically adapts routing parameters based on the detected transport mode. Rather than using static parameters, the system continuously updates routing settings to match the current transport mode, enabling both versatility across multiple modes and reliability through accurate, real-time parameter adjustment.
3Device complexity
If routing parameters are set incorrectly, then device complexity is reduced, but harmful factors increase due to safety hazards such as directing users to roads they cannot physically traverse or pedestrian footpaths for motorized vehicles
Solution Approach 1:
The system automatically detects the transport mode and configures appropriate routing parameters without user intervention, eliminating the source of incorrect parameter settings. This self-service approach prevents safety hazards by ensuring routing parameters always match the actual transport mode, while maintaining simplicity for the user.
Solution Approach 2:
The system proactively prevents safety hazards by detecting the transport mode before route calculation and pre-configuring appropriate routing parameters. This preliminary action ensures that inappropriate routes directing users to physically impossible or dangerous paths are prevented before they can occur.
Data Source
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Figure 3a
AI summary
There is provided a method (and corresponding systems) of identifying a mode of transport of a user of a navigational client, the method comprising the following steps. Obtaining route data corresponding to a completed portion of a current route of a user of the navigational client, the completed portion of a current route comprising one or more road segments traversed by the user to reach the current location of the user. Identifying, using the route data, a mode of transport of the user of the navigational client wherein said identification is based at least in part on attributes of one or more of the road segments of the completed portion of the current route.