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 6):
The method according to  claim 5 , wherein the step of calculating the average speed of the sample vehicles at spatio-temporal points in the discretized trajectories in the step 3 further includes:\n for any discretized trajectory point of the sample vehicle, finding from the original trajectory S=[(t 1 ,l 1 ), (t 2 ,l 2 ), . . . , (t n ,l n )] two trajectory points X and Y before and after the any discretized trajectory point respectively, wherein the X and Y are closest to the any discretized trajectory point and are not located on the same road segment as the any discretized trajectory point; and expressing the average speed of the sample vehicle at the any discretized trajectory point by using the average speed of the road segment between the X and the Y.

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): 0.4243858942738844
- 35 USC 102 Novelty (BERT): 0.5142079232417623
- Combined Prediction Score: 0.4333680971706722
- Mean Citation Score: 234.76678
- Max Citation Score: 272.65323
- Similarity Product: 178.78046942934037

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