Google llc (20240240956). Analyzing Travel Metrics simplified abstract
Contents
Analyzing Travel Metrics
Organization Name
Inventor(s)
Yan Borisovich Mayster of Aurora CO (US)
Bruce Bahnsen of Boulder CO (US)
Analyzing Travel Metrics - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240240956 titled 'Analyzing Travel Metrics
Simplified Explanation: The technology described in the patent application predicts travel metrics for a user based on their starting location and travel history, such as time of travel, distance traveled, expenses, and carbon footprint.
Key Features and Innovation:
- Method for predicting travel metrics based on starting location and travel history
- Utilizes location information from sensors in a device
- Identifies relevant destinations and routine trips of the user
- Predicts travel metrics like time of travel, distance, expenses, and carbon footprint
Potential Applications: This technology could be used in travel planning apps, transportation management systems, and environmental impact assessment tools.
Problems Solved: This technology addresses the challenge of accurately predicting travel metrics for users based on their historical travel data.
Benefits: Users can better plan their trips, manage their expenses, and reduce their carbon footprint with the help of this technology.
Commercial Applications: Predictive travel analytics software for travel agencies, carbon offset calculators for eco-conscious travelers, and personalized trip planning tools for individuals.
Prior Art: Prior art related to this technology may include research on predictive analytics in transportation and location-based services.
Frequently Updated Research: Stay updated on advancements in predictive analytics, location-based services, and travel planning technologies to enhance the capabilities of this innovation.
Questions about Predictive Travel Metrics: 1. How does this technology improve travel planning for users? 2. What are the potential environmental benefits of using predictive travel metrics technology?
Original Abstract Submitted
the technology generally relates to a method for predicting travel metrics for a user for a predetermined time period based on a starting location and the user's travel history. the predicted travel metrics may include, for example, a time of travel, a distance traveled, travel expenses, carbon footprint, etc. the travel history may be based on location information detected by a device having location sensors. the location information may be used to identify relevant destinations frequented by the user and routine trips completed by the user. the identified destinations and trips may be used to determine predicted travel metrics.
