PATENT CLAIM ANALYSIS

Application Number: 15865780
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["340", "932200"]

Abstract:
A method to manage a parking area by a system in connection with the vehicle is provided. The system is designed to enter into connection with a vehicle that is looking for a parking space, and to assign a parking position to the vehicle. The system registers available parking room on the basis of an entropy calculation, wherein, within a parking area, both an a priori entropy prior to parking the vehicle and an a posteriori entropy are evaluated for a specific parking position, in order for a parking position to be assigned to the vehicle that brings about the lowest possible entropy on the parking area.

Claim (Index 16):
A parking management system comprising\n a determination module designed to structure a region with parking spaces in a geographic zone, wherein the geographic zone includes a form, a size and situation that is scalable and is dynamically edited in terms of a geographic coordinate, such that a parking area is defined; a classification module designed to determine three parking room classes within the parking area; a calculation module designed to calculate a parking entropy using the parking area, and a ratio of the parking room classes; an utilization module designed to ascertain a homogeneous distribution of a parking area utilization from the parking entropy; and a selection module designed to assign a parking space to the vehicle within the parking area with an entropy value being a lowest value of parking entropy.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 86.0
- Lexical Diversity: 2.12963
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['11732429', '15400541', '14852089', '15556377', '15425170']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6668924554667112
- 35 USC 102 Novelty (BERT): 0.479782079235772
- Combined Prediction Score: 0.6481814178436173
- Mean Citation Score: 168.510704
- Max Citation Score: 181.43587
- Similarity Product: 139.5121248263526

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