PATENT CLAIM ANALYSIS

Application Number: 15898023
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["701", "119000"]

Abstract:
A system and method for providing traffic violation avoidance guidance by categorizing traffic data into data types or user types corresponding to one another, the data and user types including one of commercial vehicle, non-commercial vehicle, vehicle type, vehicle plate type, motorcyclist, cyclist, or pedestrian, and generating notifications of potential traffic violations based on the user's location and type. A summary of differences between a first set of traffic rules associated with a first location and a second set of traffic rules associated with a second location may be generated based on the data type or the user type. The system and method may also analyze traffic data to predict potential traffic violations based on a user's location and type, and to provide a notification regarding the potential traffic violations to the user through a user engagement panel associated with a user's remote computing device.

Claim (Index 10):
A computer-implemented method for providing traffic violation avoidance guidance, comprising:\n categorizing the traffic data into at least one user type comprising at least one of: commercial vehicle user, non-commercial vehicle user, vehicle type user, vehicle plate user, motorcyclist, cyclist, or pedestrian; and providing at least one notification of a potential traffic violation based on (i) a location of a user; and (ii) the traffic data for the user type of the user.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 88.0
- Lexical Diversity: 2.35294
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15019862', '15382240', '14832584', '15617881', '15645079']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.469085890316582
- 35 USC 102 Novelty (BERT): 0.5263104655119005
- Combined Prediction Score: 0.4748083478361139
- Mean Citation Score: 288.80640200000005
- Max Citation Score: 368.84854
- Similarity Product: 313.14213498247034

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

Dataset: test