PATENT CLAIM ANALYSIS

Application Number: 15781108
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
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) classifying said previous-trip driving data sets into collections corresponding to vehicle classes; c) classifying the current vehicle ( 100 ) into a current class; and d) calculating a performance parameter for the current trip based upon respective performance parameters for previous-trip driving data sets in said current collection; wherein the basic parameter set comprises vehicle velocity and engine rotation speed and/or motor load and energy consumption, and wherein the class-defining parameters comprise characteristic engine rotation speed per vehicle velocity and/or characteristic energy consumption per motor load. 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 driving data sets each comprises data from at least a predetermined set of basic driving data parameters, wherein new such current-trip driving 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 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 in particular instantaneous vehicle energy consumption; b) classifying said previous-trip driving data sets into a set of collections, wherein each of said collections only comprises previous-trip driving data sets for a particular class of vehicles, wherein all previous-trip driving data sets of one and the same vehicle are classified into one and the same collection, based upon a basic class conformity measure between driving data sets for the vehicle in question and a set of class-defining parameters; c) classifying the current vehicle into a particular current class based upon said basic class conformity measure; and d) calculating an energy consumption-based trip performance parameter value for the current trip based upon respective energy consumption-based performance parameter values for previous-trip driving data sets in said current collection;\n wherein \n the said basic parameter set comprises instantaneous vehicle velocity and instantaneous engine rotation speed and/or the basic parameter set comprises instantaneous motor load and instantaneous energy consumption, and wherein the said class-defining parameters comprise, for each class of vehicles, a characteristic engine rotation speed for a particular vehicle velocity and/or a characteristic energy consumption for a particular motor load.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 94.0
- Lexical Diversity: 2.12346
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15781109', '15781114', '15781113', '15781104', '15781101']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.717561598189503
- 35 USC 102 Novelty (BERT): 0.5636812273601021
- Combined Prediction Score: 0.7021735611065629
- Mean Citation Score: 403.722256
- Max Citation Score: 409.8965
- Similarity Product: 407.371406863898

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