PATENT CLAIM ANALYSIS

Application Number: 16021593
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-02
Patent Classification: ["705", "004000"]

Abstract:
A method is disclosed for mitigating the risks associated with driving by assigning risk values to road segments and using those risk values to select less risky travel routes. Various approaches to helping users mitigate risk are presented. A computing device is configured to generate a database of risk values. That device may receive accident information, geographic information, vehicle information, and other information from one or more data sources and calculate a risk value for the associated road segment. Subsequently, the computing device may provide the associated risk value to other devices. Furthermore, a personal navigation device may receive travel route information and use that information to retrieve risk values for the road segments in the travel route. An insurance company may use this information to determine whether to adjust a quote or premium of an insurance policy. This and other aspects relating to using geographically encoded information to promote and reward risk mitigation are disclosed.

Claim (Index 8):
The method of  claim 7 , wherein the first location corresponds to a start location of the travel route being traveled by the vehicle and the second location corresponds to an end location of the travel route being traveled by the vehicle.

Metadata:
- Claim Count in Document: 51.0
- Percentile: 94.0
- Lexical Diversity: 1.89888
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14697141', '14862266', '14816299', '14697153', '14697131']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1411532152438866
- 35 USC 102 Novelty (BERT): 0.5265033042211482
- Combined Prediction Score: 0.1796882241416127
- Mean Citation Score: 334.81276800000006
- Max Citation Score: 359.74136
- Similarity Product: 330.9079155074978

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

Dataset: test