PATENT CLAIM ANALYSIS

Application Number: 16058343
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2020-02
Patent Classification: ["null", "null"]

Abstract:
Systems and methods for triggering changes to traffic signals based on the number and/or types of vehicles occupying a detection zone are disclosed. One aspect of the present disclosure includes a device with memory having computer-readable instructions stored therein and one or more processors. The one or more processors are configured to execute the computer-readable instructions to receive identification of zones and corresponding traffic light rules for a traffic intersection; and for each identified zone, detect a number of objects in the zone; based at least in part on the number of objects detected in the zone, determine if a corresponding condition is met; and upon determining that the corresponding condition is met for the zone, send a corresponding output signal to a traffic signal controller to change a traffic signal for the zone.

Claim (Index 14):
The one or more computer-readable medium of  claim 12 , wherein the execution of the computer-readable instructions by the one or more processors causes the one or more processors to:\n receive traffic data from one or more sensors at the traffic intersection; and detect the number of objects present based on the received traffic data.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 1.90667
- Patent Class: nan
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16044891', '16030396', '16032886', '13468763', '11264339']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5948083353361178
- 35 USC 102 Novelty (BERT): 0.465869690525193
- Combined Prediction Score: 0.5819144708550252
- Mean Citation Score: 177.77891599999995
- Max Citation Score: 194.90175
- Similarity Product: 151.7247083133459

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

Dataset: test