PATENT CLAIM ANALYSIS

Application Number: 16308636
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-09
Patent Classification: ["702", "056000"]

Abstract:
A method of determining the level of quality of a road from an electronic measurement unit mounted in a wheel of a motor vehicle traveling on the road. The electronic measurement unit includes at least one sensor able to measure the vibrations perceived by the tread of the tire of said wheel. The method includes measuring, using the sensor, the vibrations perceived by the tread of the tire of the wheel, calculating the strength of the vibrations measured at a predetermined vibrational frequency referred to as the distinguishing frequency, comparing the calculated strength with predetermined strength values contained in a table stored in a memory zone, which are characteristic of various road quality levels, and determining the level of quality of the road from the comparison made.

Claim (Index 1):
A method of determining a level of quality of a road from an electronic measurement unit mounted in a wheel of a motor vehicle traveling on said road, said electronic measurement unit comprising at least one sensor able to measure the vibrations perceived by the tread of the tire of said wheel, said method comprising:\n measuring, using the sensor, the vibrations perceived by the tread of the tire of the wheel, calculating a strength of the vibrations measured at a predetermined vibrational frequency referred to as the distinguishing frequency, comparing the calculated strength with predetermined strength values contained in a table stored in a memory zone, which are characteristic of various road quality levels, and determining the level of quality of the road from the comparison.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 98.0
- Lexical Diversity: 2.06061
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['11827540', '15103987', '12742399', '15533052', '10854351']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1944622748041498
- 35 USC 102 Novelty (BERT): 0.4633524327405375
- Combined Prediction Score: 0.2213512905977886
- Mean Citation Score: 164.680276
- Max Citation Score: 180.02493
- Similarity Product: 145.59126230927112

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

Dataset: test