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 1):
A method for judging a highway abnormal event is provided, including:\n step 1: obtaining trajectory data of sample vehicles passing a target road segment H within a target time period T; step 2, equally dividing the T and the H respectively, and constructing a two-dimensional matrix U representing the discretized trajectories of the sample vehicles based on the equally divided T and H; step 3, calculating an average speed of the sample vehicles at spatio-temporal points in the discretized trajectories, and adding the average speed of the spatio-temporal points to the two-dimensional matrix U; step 4: calculating a total number of sample vehicles at the spatio-temporal points in the discretized trajectories and the average speed of all sample vehicles at the spatio-temporal points in the discretized trajectories; and step 5: obtaining traffic jam conditions in the T and the H based on the total number of sample vehicles at the spatio-temporal points in the discretized trajectories and the average speed of all sample vehicles at the spatio-temporal points in the discretized trajectories.

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): 0.4257080390303874
- 35 USC 102 Novelty (BERT): 0.5073503633786808
- Combined Prediction Score: 0.4338722714652167
- Mean Citation Score: 234.76678
- Max Citation Score: 272.65323
- Similarity Product: 203.0385100623644

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