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 9):
Method according to  claim 1 , wherein parameter values of said basic parameter set are automatically recorded by the vehicle and either communicated to a portable electronic device arranged at the vehicle, which portable electronic device communicates, via a wireless link, said parameter values to a central server, or communicated, via a wireless link, directly from the vehicle to said central server.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 94.0
- Lexical Diversity: 2.12346
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15781109', '15781114', '15781113', '15781104', '15781101']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7413049289047516
- 35 USC 102 Novelty (BERT): 0.565387155964092
- Combined Prediction Score: 0.7237131516106857
- Mean Citation Score: 403.722256
- Max Citation Score: 409.8965
- Similarity Product: 399.550808401674

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