PATENT CLAIM ANALYSIS

Application Number: 15750439
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-10
Patent Classification: ["340", "439000"]

Abstract:
The disclosure relates to an Internet of Vehicles technology, and particularly to a driving behavior correction method and device based on the Internet of Vehicles. The driving behavior correction method based on the Internet of Vehicles comprises: a first information acquirer acquiring information about a vehicle in real time, and a second information acquirer acquiring vehicle condition information about the other surrounding vehicles on a travelling road in real time; and a determination unit arranged in the vehicle or at a cloud determining in real time, according to the information about the vehicle and the vehicle condition information about the surrounding vehicles, whether a driving behavior of the vehicle is dangerous, and if so, issuing a driving behavior correction prompt to the driver of the vehicle, which can intervene in and correct the driving behavior of the driver in real time.

Claim (Index 2):
The method according to  claim 1 , further comprising:\n the determination unit determining in real time, according to the information about the vehicle and the vehicle condition information about the surrounding vehicles, whether the driving behavior of the vehicle is illegal, and if so, uploading the illegal driving behavior to the cloud.

Metadata:
- Claim Count in Document: 28.0
- Percentile: 88.0
- Lexical Diversity: 2.4918
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15881888', '13263340', '14182568', '15820411', '10563703']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6824661105760423
- 35 USC 102 Novelty (BERT): 0.5012768381657942
- Combined Prediction Score: 0.6643471833350175
- Mean Citation Score: 201.707856
- Max Citation Score: 205.81769
- Similarity Product: 135.29922770157577

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

Dataset: test