PATENT CLAIM ANALYSIS

Application Number: 16113823
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["705", "007120"]

Abstract:
Disclosed is a system and method of improving a calculation and display of an individualized estimated time of arrival (ETA). Using at least one computing device, driver-related data, including real-time and historic data, associated with a driver may be collected and stored in memory. The computing device may also be used to perform analysis on the driving data and ETA-related data to determine the individualized ETA based at least in part on a set of individualized parameters. The computing device may also be used to display to the driver and/or user the individualized ETA and a corresponding level of familiarity of the driver with one or more segments of a route of the driver.

Claim (Index 7):
The method according to  claim 1 , further comprising:\n collecting and storing one or more speed limits corresponding to one or more segments of the current route; calculating an average speed difference between the average speed of the driver along the one or more route segments and the one or more speed limits along the one or more route segments, and modifying the individualized ETA of the driver at the destination location based on the average speed difference.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 96.0
- Lexical Diversity: 1.92188
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14186815', '14794601', '15646833', '15296915', '15802639']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0946982313229108
- 35 USC 102 Novelty (BERT): 0.5098771753648826
- Combined Prediction Score: 0.136216125727108
- Mean Citation Score: 217.78576200000003
- Max Citation Score: 238.75055
- Similarity Product: 149.65190448735356

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test