PATENT CLAIM ANALYSIS

Application Number: 16318691
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-06
Patent Classification: ["701", "117000"]

Abstract:
The present invention provides a method for judging a highway abnormal event, which can determine the traffic jam phenomenon in the target road segment based on the trajectory data of each sample vehicle of the target road segment. The solution of the present invention has the following beneficial effects of 1. comprehensively considering the vehicle speed information of the sample vehicles to judge the traffic jam event; 2. determining the overall traffic jam event of the target road segment; 3. more accurately judging the traffic jam event of the target road segment.

Claim (Index 2):
The method according to  claim 1 , wherein the step 1 further includes:\n selecting a closed polygon A around the target road segment, so that the shortest distance from any point on the A to the target road segment is equal, wherein the shortest distance is the maximum positioning offset distance of the sample vehicle that can be positioned on the target road segment; the trajectories of the sample vehicles are obtained and are expressed as S=[(t 1 ,l 1 ), (t 2 , l 2 ), . . . , (t n ,l n )], wherein the ith record R i =(t i ,l i ) expresses that the time is t i , and the location of the sample vehicle is l i .

Metadata:
- Claim Count in Document: 20.0
- Percentile: 99.0
- Lexical Diversity: 1.86538
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14694984', '13111110', '11655047', '14341435', '16322095']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4253320583675929
- 35 USC 102 Novelty (BERT): 0.5093001330106698
- Combined Prediction Score: 0.4337288658319007
- Mean Citation Score: 234.76678
- Max Citation Score: 272.65323
- Similarity Product: 196.1426189638066

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

Dataset: test