PATENT CLAIM ANALYSIS

Application Number: 15781111
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["701", "032100"]

Abstract:
Method for automatically assessing performance of a driver ( 110 ) of a vehicle ( 100 ) for a particular trip, wherein current driving data sets, comprising basic driving data are repeatedly read from the vehicle, which method comprises the steps a) collecting previous-trip driving data sets, comprising instantaneous vehicle energy consumption, for different previous trips, different drivers and different vehicles; b) for each of said current-trip driving data sets, selecting a corresponding previous-trip data set; c) calculating the value of said second trip performance parameter based upon the respective values of a first trip performance parameter for each of said selected previous-trip driving data sets, which first trip performance parameter is calculated for the previous-trip data set in question as a relative trip performance of the previous-trip data set in question in relation to the trip during which the previous-trip data set was observed. The invention also relates to a system.

Claim (Index 14):
System for automatically assessing performance of a driver of a current vehicle for a particular current trip, which system is arranged to repeatedly read updated current-trip driving data sets from the vehicle, which current-trip driving data sets each comprises data from at least a predetermined set of basic driving data parameters, wherein the system is arranged to read new such current-trip driving data sets from the vehicle at consecutive observation time points separated by at the most a predetermined observation time period, wherein the system comprises a server arranged to calculate the value of a second trip performance parameter, wherein the server is arranged to collect previous-trip driving data sets, each observed at a respective one of a plurality of different observation time points, for a plurality of different previous trips made by a plurality of different drivers and a plurality of different vehicles, which previous-trip driving data sets each comprises parameter values for at least a certain predetermined set of qualified driving data parameters in turn comprising the said basic parameter set, and which parameter values are each read either as a respective instantaneous value or a respective average value read across a certain respective time period of at the most 5 seconds of length, wherein the server is arranged to, for each of said current-trip driving data sets, select at least one corresponding previous-trip data set based upon a basic driving data set similarity measure, arranged to measure similarity between driving data sets, and/or based upon a basic group conformity measure arranged to measure conformity for a current-trip data set to a basic historic group of previous-trip driving data sets, and wherein the server is arranged to calculate the value of said second trip performance parameter based upon the respective values of a first trip performance parameter for each of said selected previous-trip driving data sets, which first trip performance parameter is calculated for the previous-trip data set in question as a relative trip performance of the previous-trip data set in question in relation to the trip during which the previous-trip data set was observed.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 94.0
- Lexical Diversity: 2.11392
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15781113', '15781109', '15781101', '15781108', '15781114']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5577621800964551
- 35 USC 102 Novelty (BERT): 0.5400434843495419
- Combined Prediction Score: 0.5559903105217637
- Mean Citation Score: 408.42774
- Max Citation Score: 411.43933
- Similarity Product: 339.42807429372846

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

Dataset: test