PATENT CLAIM ANALYSIS

Application Number: 15991684
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["701", "023000"]

Abstract:
Apparatuses, systems, and methods are provided for the utilization of vehicle control systems to cause a vehicle to take preventative action responsive to the detection of a near short term adverse driving scenario. A vehicle control system may receive information corresponding to vehicle operation data and ancillary data. Based on the received vehicle operation data and the received ancillary data, a multi-dimension risk score module may calculate risk scores associated with the received vehicle operation data and the received ancillary data. Subsequently, the vehicle control systems may cause the vehicle to perform at least one of a close call detection action and a close call detection alert to lessen the risk associated with the received vehicle operation data and the received ancillary data.

Claim (Index 14):
The apparatus of the  claim 9 , wherein the close call detection action comprises at least one of activating brakes of the vehicle, causing the vehicle to change lanes, disabling a mobile device of a driver of the vehicle, disabling acceleration for the vehicle, turning on vehicle headlights, reducing a speed of the vehicle, turning on emergency lights of the vehicle, and changing an autonomous level of the vehicle.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 93.0
- Lexical Diversity: 2.29825
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15183287', '15240019', '15409143', '15409159', '14713206']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.376236503760912
- 35 USC 102 Novelty (BERT): 0.5232086559292726
- Combined Prediction Score: 0.3909337189777481
- Mean Citation Score: 208.086644
- Max Citation Score: 332.1921
- Similarity Product: 268.355251002574

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

Dataset: test