PATENT CLAIM ANALYSIS

Application Number: 15781104
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) mapping said current-trip driving data sets to a basic historic groups; and c) calculating a performance parameter value for the current trip based upon a respective group performance parameter value for each basic historic group; wherein said basic parameter set comprises velocity, engine rotation speed, velocity change and engine rotation speed change, and/or motor load, energy consumption, motor load change and energy consumption change. The invention also relates to a system.

Claim (Index 7):
Method according to  claim 1 , wherein a subset of said vehicles are marked as trusted, and wherein the said group performance parameter values are calculated so that they are not affected by instantaneous energy consumption reported by vehicles not marked as trusted.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 94.0
- Lexical Diversity: 2.02667
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15781113', '15781109', '15781101', '15781108', '15781111']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7303307895010782
- 35 USC 102 Novelty (BERT): 0.5481624832679227
- Combined Prediction Score: 0.7121139588777627
- Mean Citation Score: 367.450652
- Max Citation Score: 373.36362
- Similarity Product: 224.8660884022844

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