Waypoint Server System for Dynamic POI Filtering
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Solution Overview
Problem
Existing telematics systems face challenges in effectively presenting and selecting relevant places of interest (POIs) along a vehicle route, overwhelming users with numerous options and failing to minimize driver distraction, while also adhering to time constraints and preferences.
Innovation Solution
A waypoint server system configures user interests and trip requirements to provide a filtered set of POIs, using POI ratings and rank ordering based on delay factors and current trip conditions, allowing for the selection and integration of POIs as waypoints, with real-time updates and notifications to vehicle occupants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all potential POIs are presented to vehicle occupants, then the completeness of information is improved, but driver distraction and interface complexity increase
Solution Approach 1:
The system extracts only the most relevant POIs from the complete set of potential POIs along the route. By applying filtering criteria based on user preferences, trip requirements, and relevance scoring, the system presents a selective subset of POIs that maintains information quality while minimizing driver distraction through reduced presentation volume.
Solution Approach 2:
The system applies different quality standards to different POIs based on their relevance to the user's specific needs and preferences. Each POI is evaluated individually against customized criteria, allowing high-relevance POIs to be presented with detailed information while low-relevance POIs are filtered out, creating a locally optimized information presentation strategy.
2Object-affected harmful factors
If a filtered set of POIs is presented, then driver distraction is minimized, but the quantity of available options is reduced
Solution Approach 1:
The system dynamically adjusts filtering parameters such as relevance thresholds, preference weights, and trip requirement criteria to optimize the balance between driver distraction and option quantity. By modifying these parameters based on contextual factors like trip duration, user behavior patterns, and current route conditions, the system adapts the filtering strictness to maintain an optimal number of presented options.
3Manufacturing precision
If POI selection and route updating are performed in real-time, then trip accuracy is improved, but processing time and system complexity increase
Solution Approach 1:
The system performs preliminary filtering, scoring, and ranking of POIs before they need to be presented to the user. By pre-processing the POI data based on stored user preferences and trip requirements, the system reduces the computational burden during real-time operation, allowing for accurate trip updates without excessive processing delays.
Solution Approach 2:
The system automatically updates the trip route and recalculates ETAs without requiring manual intervention from the driver. The telematics unit continuously monitors POI selections, automatically incorporates chosen POIs as waypoints, and adjusts the route accordingly, eliminating the need for manual route recalculation and reducing processing time.
4Reliability
If driver distraction guidelines are strictly enforced, then safety is improved, but the functionality of POI presentation is limited
Solution Approach 1:
The system presents POI information in periodic, discrete notifications rather than continuous displays. By timing the presentation of POI information to occur during appropriate intervals and using brief, focused notifications, the system maintains driver safety through reduced visual and cognitive demands while still delivering comprehensive POI functionality over the course of the trip.
Data Source
AI summary
A method is described for incorporating a new waypoint into a current trip. The method includes configuring a trip definition and thereafter determining a proposed POI based upon: the trip definition, and a collection of potential proposed POI instances. The waypoint server system processes the collection of potential proposed POI instances, to render the proposed POI, by: (1) establishing POI ratings for individual ones of the collection of potential proposed POI instances based at least in part upon: the delay factor, and an estimate of additional delay arising from adding the individual POI to the current trip route; (2) establishing a rank ordering of the individual ones of the collection of potential proposed POI instances based upon the POI ratings; and (3) rendering the proposed POI from the rank ordering of the individual ones of the collection of potential proposed POI instances.


