PATENT CLAIM ANALYSIS

Application Number: 15912459
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["340", "932200"]

Abstract:
A parking system includes: electronic parking passes that can be virtual parking passes or physical parking devices within vehicles; a network of connected wireless communication hubs; computer servers, associated software, and driver information databases (collectively called the Cloud Backend); and registered parking applications on mobile devices of vehicle drivers. All system components are interconnected and able to communicate with one another, creating a “Driver Parking and Safety Net” that enables drivers to find parking, make secure payments for parking transactions, dynamically upgrade their parking authorization levels on a temporary basis, and monitor for safety of the drivers even while they are away from their vehicles.

Claim (Index 5):
A method performed by a parking system, the method comprising:\n creating a profile for a user comprising a parking pass identifier for an electronic parking pass, a parking authorization level associated with the electronic parking pass, and user data identifying the user and registration of a parking application on a user device; receiving multiple parking pass identifier inputs from a plurality of parking communication hubs; determining, based on the multiple parking pass identifier inputs, parking utilization data indicating current utilization for a plurality of parking lots; determining, based on the user's profile and the parking utilization data, at least one of the plurality of parking lots within which the user is authorized to park to use in determining a user parking authorization indication; communicating the user parking authorization indication to the registered parking application.

Metadata:
- Claim Count in Document: 33.0
- Percentile: 90.0
- Lexical Diversity: 1.42353
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15264546', '15421916', '10457889', '15666464', '11929830']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.628556685122971
- 35 USC 102 Novelty (BERT): 0.4776710560757138
- Combined Prediction Score: 0.6134681222182453
- Mean Citation Score: 176.381216
- Max Citation Score: 184.43279
- Similarity Product: 154.4932047912389

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