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 11):
The method according to  claim 10 , wherein the predicted speed of the driver along the one or more additional route segments is further computed by determining:\n a LOF of each of one or more segments of the current route, wherein the LOF is calculated in terms of a percent, percent intervals, or tiers, and is determined, in accordance with one or more predetermined rules, as a combination of recency, frequency, and consecutiveness of the driver completing the one or more segments; a geometry of the one or more segments, wherein the geometry of the one or more segments of the current route is determined in terms of a total interval or a tier of degrees of a road curvature of the one or more segments, wherein the road curvature of the one or more segments is assigned a coefficient, in accordance with one or more predetermined rules, and factored into a calculation of the predicted speed; whether the current route is a double-back of a route recently completed by the driver, wherein identification of the current route as being the double-back of the route recently completed by the driver is assigned a coefficient, in accordance with the one or more predetermined rules, and factored into the calculation of the predicted speed; a type of vehicle driven by the driver, wherein the type of vehicle driven by the driver along the current route is assigned a coefficient factored into the calculation of the predicted speed, wherein the coefficient, in accordance with one or more predetermined rules, depends on a tier of size of the vehicle; one or more bottlenecks along the one or more segments of the route, wherein the one or more bottlenecks are assigned a coefficient based on a magnitude of lane merger along the one or more segments of the current route, wherein the coefficient is factored into calculation of the predicted speed; an age range of the driver, wherein an individual driving behavior of the driver with respect to the age range of the driver is factored into the calculation of the predicted speed of the driver based on an assigned age coefficient; a gender of the driver, wherein an individual driving behavior of the driver with respect to the gender of the driver is factored into the calculation of the predicted speed of the driver based on an assigned gender coefficient; road and weather conditions along the one or more segments, wherein an individual driving behavior of the driver with respect to the road and weather conditions is factored into the calculation of the predicted speed of the driver based on an assigned conditions coefficient; one or more speed limits along the one or more route segments, wherein an individual driving behavior of the driver with respect to the one or more speed limits is factored into the calculation of the predicted speed of the driver based on an assigned speed limit coefficient; and a time frame during which the driver is travelling along the one or more segments, wherein an individual driving behavior of the driver with respect to the time frame is factored into the calculation of the predicted speed of the driver based on an assigned time frame coefficient.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 96.0
- Lexical Diversity: 1.92188
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14186815', '14794601', '15646833', '15296915', '15802639']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.105371209302077
- 35 USC 102 Novelty (BERT): 0.5124231996519428
- Combined Prediction Score: 0.1460764083370636
- Mean Citation Score: 217.78576200000003
- Max Citation Score: 238.75055
- Similarity Product: 149.0763461828798

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

Dataset: test