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 10):
The method according to  claim 9 , wherein the step 5 further includes:\n performing average pooling processing on the matrix, figuring out an average value of elements of the J matrix in a window by using a square pooling window, and finding the location of the pooling window where the average value is greater than a preset threshold, wherein the location is the location where the traffic jam occurs; and selecting a starting time T x , an ending time T y , a starting location H x  and an ending location H y  of the location where the traffic jam occurs; and calculating the average speed  v  of a sub-matrix corresponding to the location where the traffic jam occurs by using the matrix F; and obtaining E i ={T 1 ,T 2 ,L 1 ,L 2 , v }.

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): 0.4249456702471361
- 35 USC 102 Novelty (BERT): 0.5113042658000945
- Combined Prediction Score: 0.4335815298024319
- Mean Citation Score: 234.76678
- Max Citation Score: 272.65323
- Similarity Product: 189.0535962404716

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