PATENT CLAIM ANALYSIS

Application Number: 16166895
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["701", "117000"]

Abstract:
A method for improving vehicular traffic-related communications between devices including: collecting a first movement dataset corresponding to a sensor of a device arranged within a vehicle; collecting a supplementary dataset from the device; transmitting the movement dataset and supplementary dataset from the device to a remote computing system; determining a traffic-related event based upon processing the movement dataset and supplementary dataset with a traffic event model; and transmitting a traffic-related communication from the remote computing system to a second device associated with a second user arranged in a second vehicle.

Claim (Index 19):
The method of  claim 14 , wherein the traffic-related communication is indicative of a high-risk driving event associated with the first vehicle, and wherein generating the control instruction comprises:\n determining, at the second device, that a planned route of the second vehicle is proximal an estimated route the first vehicle based on the movement dataset; and generating the control instruction comprising an instruction to modify the planned route of the second vehicle to increase the relative distance between the planned route and the estimated route.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 97.0
- Lexical Diversity: 2.04255
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15727972', '16022184', '15243565', '15584375', '15921152']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4397742006822746
- 35 USC 102 Novelty (BERT): 0.4997193101847294
- Combined Prediction Score: 0.4457687116325201
- Mean Citation Score: 152.19286599999995
- Max Citation Score: 172.76981999999995
- Similarity Product: 125.22036127944584

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

Dataset: test