Route Dictionary Predicts Location Data Timing
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Solution Overview
Problem
Location-based information delivered to mobile devices is often too late to be useful, particularly for users in vehicles, as it may not provide sufficient time for review and utilization, especially when transmitted while the user is driving.
Innovation Solution
A system that tracks real-time location information, organizes route data into a route dictionary, predicts future routes, and schedules the transmission of relevant location-based information ahead of time to ensure the user can review it without distraction, using a route dictionary to identify likely routes and select data items based on proximity and user affinity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If location-based information is transmitted in real-time when the user is at or near a location of interest, then the information delivery is timely and relevant, but the user may not have sufficient time to review and utilize the information, especially when driving
Solution Approach 1:
The system performs preliminary actions by predicting the user's future route and pre-transmitting location-based information before the user actually reaches the location of interest. The server predicts the route based on current location and historical data, then schedules information transmission for an optimal time window prior to the predicted arrival, allowing users sufficient time to review information without distraction during driving.
2Productivity
If location-based information is transmitted while the user is driving, then the information is delivered at the moment of need, but it causes distraction and safety concerns
Solution Approach 1:
The system transmits information in advance during a predetermined time window before the user reaches the location of interest, rather than waiting until the user is at the location. This preliminary transmission allows users to review information during idle time such as during the trip itself or before departure, eliminating distraction during critical driving moments while maintaining information relevance.
3Loss of information
If the system waits until the user is at the location to transmit information, then the information is highly relevant to current context, but it is too late for the user to plan or prepare
Solution Approach 1:
The system predicts the user's future route using current location, destination, and historical route data, then proactively transmits location-based information during an optimal time window before the user reaches the location of interest. This allows users to receive and process information in advance, enabling them to plan their activities or preparations while the information remains highly relevant to their upcoming context.
Data Source
AI summary
Systems and methods to track locations of a mobile device as a function of time and extract routes traversed by the mobile device, frequencies of the routes, and travel time periods of the routes. The route information is organized as a route dictionary. In response to an indication of a recently completed route, the information of the recently completed route is used in the route dictionary to look up a most likely route for the next trip and the predicted time of the next trip. Location-based data items are selected based on the predicted route for the next trip, sorted based on closeness to the route and affinity to the user of the mobile device for transmission to the mobile device. Top selected data items are scheduled to be transmitted to the mobile device in a time window before the predicted time of the next trip to avoid distracting the user (e.g., from driving) while the user is on the trip.