PATENT CLAIM ANALYSIS

Application Number: 15781113
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["340", "439000"]

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) grouping said previous-trip driving data sets into basic historic groups and calculating a respective group performance parameter; c) further grouping said previous-trip driving data sets into extended historic groups; d) mapping each current-trip data set to said extended historic groups; and e) calculating a current-trip performance parameter based upon the group performance parameter values of the respective basic historic groups corresponding to previous-trip driving data sets comprised in the extended historic group to which a current-trip data set was matched in step d. The invention also relates to a system.

Claim (Index 1):
Method for automatically assessing performance of a driver of a current vehicle for a particular current trip, wherein updated current-trip driving data sets are repeatedly read from the vehicle, which current-trip data sets each comprises data from at least a predetermined set of extended driving data parameters, wherein new such current-trip data sets are read from the vehicle at consecutive observation time points separated by at the most a predetermined observation time period, wherein the method comprises the steps of\n a) collecting previous-trip driving data sets, observed at 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 data sets each comprises parameter values for both said set of extended driving data parameters and a predetermined set of a qualified parameter set, which qualified parameter set comprises the parameters of a basic parameter set and instantaneous vehicle energy consumption; b) grouping said previous-trip driving data sets into basic historic groups of such sets, based upon a basic driving data set similarity measure, which basic similarity measure is arranged to take values for said basic parameter set into consideration, and calculating the value of a respective group performance parameter for each such basic historic group; c) further grouping said previous-trip driving data sets into extended historic groups of such sets, based upon an extended driving data set similarity measure, which extended similarity measure is arranged not to take all values for said basic parameter set into consideration that are taken into consideration by the basic similarity measure; d) for each of said current-trip data sets, mapping the current-trip data set in question to at the most one particular of said extended historic groups, based upon an extended group conformity measure between a driving data set and an extended historic group; and e) calculating a current-trip performance parameter based upon the said group performance parameter values of respective basic historic groups corresponding to previous-trip driving data sets comprised in the extended historic group to which a current-trip data set was matched in step d.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 94.0
- Lexical Diversity: 2.1
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15781101', '15781111', '15781109', '15781104', '15781114']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7384596834324599
- 35 USC 102 Novelty (BERT): 0.5761392770549721
- Combined Prediction Score: 0.7222276427947112
- Mean Citation Score: 402.897688
- Max Citation Score: 422.79605
- Similarity Product: 413.01377864432334

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