Driving Behavior KPI Evaluation for Time, Energy, and Emissions
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Solution Overview
Problem
There is a need for a method and system to effectively evaluate the driving behavior of both human drivers and automated driving vehicles, considering key performance indicators such as travel time, energy efficiency, and emissions efficiency, to ensure that automated systems perform as well as or better than human drivers in various operational domains.
Innovation Solution
A system comprising a detector and an evaluation circuit that collects and analyzes driving data to determine a key performance indicator (KPI) by accounting for travel time, energy efficiency, and emissions efficiency, allowing for quantitative evaluation of driving behavior and comparison between human and automated driving vehicles, with the option to weight these factors based on individual preferences or operational domains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated driving vehicles are evaluated based on multiple factors (travel time, energy efficiency, emissions efficiency), then the evaluation comprehensiveness is improved, but the evaluation complexity increases
Solution Approach 1:
The evaluation system segments the comprehensive evaluation into three distinct measurement modules: travel time measurement, energy efficiency measurement, and emissions efficiency measurement. Each module independently evaluates one aspect of driving behavior, allowing the system to maintain comprehensive evaluation capability while managing complexity through modular organization of evaluation functions.
Solution Approach 2:
The system introduces a central evaluation unit that acts as an intermediary, receiving data from multiple detection sources (travel time data, energy consumption data, emissions data) and integrating them into a unified evaluation result. This intermediary structure coordinates the complex evaluation process without requiring direct integration between all measurement components.
2Measurement precision
If driving data from multiple sources is collected and analyzed, then the evaluation accuracy is improved, but the data processing requirements increase
Solution Approach 1:
The evaluation system extracts and processes only the essential features from raw driving data: travel time duration, energy consumption values, and emissions measurements. By extracting only these critical parameters rather than processing all available sensor data, the system maintains high evaluation accuracy while reducing overall data processing requirements.
Data Source
AI summary
The disclosure relates to a method for evaluating a driving behavior, wherein detected driving data of at least one human driver, or detected driving data of at least one automated driving vehicle are obtained, wherein a key performance indicator is determined based on the obtained driving data, wherein both a travel time as well as an energy efficiency and/or emissions efficiency are taken into account in determining the key performance indicator, wherein the determined key performance indicator is provided as an evaluation result.