PATENT CLAIM ANALYSIS

Application Number: 16410350
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-09
Patent Classification: ["701", "119000"]

Abstract:
A plurality of instances of pre-intersection and post-intersection probe data are received. Each instance of pre-intersection probe data corresponds to traveling along a pre-intersection road segment before traveling through an intersection. Each instance of post-intersection probe data corresponds to traveling along a post-intersection road segment following traveling through the intersection. Instances of pre-intersection probe data are clustered into pre-intersection clusters based on a post-intersection road segment identified by the corresponding instance of post-intersection probe data. Instances of post-intersection probe data are clustered into post-intersection clusters based on the post-intersection road segment identified thereby. A traffic level indicator is determined for each cluster. A traffic level indicator difference is determined for each pair of corresponding pre-intersection and post-intersection clusters. Responsive to determining that at least one traffic level indicator difference is greater than a threshold traffic level indicator difference, the intersection is identified as experiencing a traffic jam.

Claim (Index 13):
The method of  claim 1 , further comprising:\n tracking the determining of the intersection as experiencing a traffic jam condition; determining, based on the tracking, that the intersection is a problem intersection; and providing a problem intersection traffic jam notification, wherein a computing entity receives the problem intersection traffic jam notification, and, responsive thereto, triggers a modification of the intersection or a nearby intersection.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 100.0
- Lexical Diversity: 2.6
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15370337', '15389500', '15142336', '15618482', '15370311']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4445153769396738
- 35 USC 102 Novelty (BERT): 0.5788488502228358
- Combined Prediction Score: 0.45794872426799
- Mean Citation Score: 279.27134800000005
- Max Citation Score: 473.72986
- Similarity Product: 460.2406627351547

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