Aggregate Travel Data System for Accurate Waypoint Timing
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Solution Overview
Problem
Travel data is frequently unreliable, leading to inaccuracies in predicting transit delays and planning travel schedules, as flights and taxis often experience delays due to specific airport and traffic patterns.
Innovation Solution
A system and method that aggregates actual travel data from mobile devices using GPS, allowing for the determination of average, minimum, or maximum travel times between waypoints, enabling more accurate travel schedule planning and transportation coordination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If actual travel data is aggregated from multiple travelers, then prediction accuracy of travel times improves, but system complexity and data collection requirements increase
Solution Approach 1:
The patent combines travel data from multiple independent travelers into a centralized database, merging individual experience datasets to create a comprehensive collection that improves prediction accuracy through statistical aggregation of actual travel times, delays, and route conditions
Solution Approach 2:
The system introduces a centralized database and processing platform as an intermediary between individual travelers and the prediction function, collecting GPS data and travel information from multiple users and processing it to generate improved travel time predictions without requiring direct complex interactions between travelers
2Measurement precision
If GPS tracking and data collection from mobile devices is implemented, then travel schedule accuracy improves, but user privacy concerns and data security requirements increase
Solution Approach 1:
The patent extracts only the necessary travel-related data elements (GPS coordinates, timestamps, route information) from complete mobile device datasets, separating useful travel metadata from other personal information to minimize privacy exposure while maintaining prediction accuracy
Solution Approach 2:
The system applies different data collection and processing characteristics to different aspects of travel data, collecting detailed GPS information for route analysis while aggregating and anonymizing personal identifiers, applying appropriate data treatment quality to each element based on its purpose
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution provides a more accurate prediction of travel times and schedules, allowing travelers to better plan their journeys and coordinate transportation, thereby reducing delays and improving travel efficiency.
Implementation Method 1
provide the mobile device Global Positioning Systems (GPS) data for way points of the scheduled travel
Data Source
AI summary
One embodiment of the invention includes a method and system to provide a mobile device a travel schedule in response to the mobile device remotely logging into a separate system, provide the mobile device Global Positioning Systems (GPS) data for way points of the scheduled travel; and receive a time and location data from the mobile device in response to the mobile device entering a way point of the scheduled travel. In one embodiment, the time and location data received is to be used to determine at least one of an average, minimum, or maximum time of travel between separate way points.