PATENT CLAIM ANALYSIS

Application Number: 15994568
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-09
Patent Classification: ["340", "907000"]

Abstract:
Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection. Current motion data received from the sensor about ground transportation entities at or near the intersection is applied to the machine learning model to predict imminent behaviors of the ground transportation entities. An imminent dangerous situation for one or more of the ground transportation entities at or near the intersection is inferred from the predicted imminent behaviors. The wireless communication device sends the warning about the dangerous situation to the device of one of the ground transportation entities.

Claim (Index 9):
The apparatus of  claim 1  in which the instructions are executable by the processor to store the training data at the equipment.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 93.0
- Lexical Diversity: 2.80519
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15994826', '15890009', '15303876', '10465890', '15235326']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6628305127612649
- 35 USC 102 Novelty (BERT): 0.5851730497944915
- Combined Prediction Score: 0.6550647664645877
- Mean Citation Score: 232.367578
- Max Citation Score: 542.79065
- Similarity Product: 350.9550122080118

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