Dynamic Navigation Interface Transition for Multi-Modal Routes
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Solution Overview
Problem
Existing transportation systems struggle to efficiently transition and update navigation modes for multi-modal transportation routes, leading to suboptimal user experiences and inefficiencies in cost and time savings.
Innovation Solution
A system that includes a processor and memory, capable of receiving a transportation route with multiple segments, detecting trigger events to switch between modalities, and displaying interfaces tailored to each modality, providing guidance information and haptic feedback as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single navigation interface is used for all transportation segments, then the system complexity is reduced, but the guidance information becomes less relevant and effective for different modalities
Solution Approach 1:
The navigation interface dynamically transitions between different modality-specific interfaces based on the current transportation segment. The system detects when the user is in a particular mode (e.g., riding a bicycle, walking, taking public transit) and automatically displays the appropriate interface with relevant guidance information, making the system adaptive without requiring manual user input.
Solution Approach 2:
The system automatically detects the current transportation modality through sensor data and trigger events, then self-adjusts the displayed interface and guidance information without requiring user intervention. This eliminates the need for users to manually switch interfaces while ensuring they receive relevant navigation instructions for their current mode.
2Measurement precision
If the system continuously monitors and updates navigation mode, then the transition accuracy is improved, but the energy consumption and processing load increase
Solution Approach 1:
Instead of continuous monitoring, the system uses periodic trigger events to detect mode transitions. These triggers are based on sensor data such as geofence entries/exits, changes in cellular connectivity, telematics patterns, or altitude changes. The system checks for these specific events at intervals rather than continuously analyzing all sensor data, reducing processing load while maintaining accurate detection of transportation mode changes.
3Loss of information
If multiple interfaces are displayed simultaneously for all segments, then all information is available, but the user interface becomes cluttered and harder to navigate
Solution Approach 1:
The system displays different interface characteristics tailored to the current transportation modality. Each modality-specific interface is optimized with the appropriate level of detail and type of information relevant to that mode. For example, bicycle navigation may show detailed turn-by-turn directions with haptic feedback cues, while public transit navigation may show simpler station-to-station routing with less granular detail, making each interface optimized for its specific use case.
Data Source
AI summary
Systems and methods for improved transitioning and updating of navigations modes for multi-modal transportation routes are presented. In one embodiment, a method is provided that includes receiving a transportation route, which may include a first segment and a second segment. A first interface associated with the first segment may be displayed and may include a visual indicator of a rate of progress. A predicted travel time may be predicted, based on the rate of progress, to a starting location of the second segment. The visual indicator may be updated based on a comparison of the predicted travel time to a start time of the second segment.