Virtual Vehicle Replay of Real Driving Behavior for Safety Feedback
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Solution Overview
Problem
Vehicle operators often underestimate the risks associated with vehicle operation, leading to a psychological barrier against incremental safety improvements, despite advancements in vehicular safety technologies and measures.
Innovation Solution
A computer-implemented method and system that models vehicle operating behavior in a virtual environment using a data model indicative of real-world vehicle operation, allowing operators to review virtual vehicle movements and identify areas for improvement, thereby increasing awareness and motivation to adjust their driving habits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle operators are provided with incremental safety improvements and risk awareness information, then vehicular safety should improve, but operators psychologically underestimate risks and disregard safety measures
Solution Approach 1:
The patent creates a virtual replica of the operator's actual driving behavior by collecting real-world vehicle operation data and generating a digital twin that mimics their driving patterns, risks, and decisions. This virtual copy allows operators to objectively review their own behavior without direct confrontation, making safety feedback more acceptable and less psychologically resistant.
Solution Approach 2:
The patent transitions safety feedback from the abstract conceptual dimension to the visual concrete dimension by rendering driving behavior as visual scenes in a virtual environment. Instead of presenting statistical risk data or abstract safety metrics, the system displays actual driving scenarios as visual representations, allowing operators to see their behavior from an external perspective and understand risks more intuitively.
2Loss of information
If real-world vehicle operation data is collected and processed to create virtual models, then operator awareness of safety risks increases, but system complexity and data processing requirements increase
Solution Approach 1:
The patent extracts only the essential and relevant features from complex raw driving data to create the virtual model. Instead of processing and storing all possible vehicle operation parameters, the system identifies and extracts key behavioral patterns, risk indicators, and driving characteristics that are most relevant to safety awareness, reducing data processing complexity while maintaining effectiveness.
Solution Approach 2:
The patent performs preliminary processing and structuring of vehicle operation data as it is collected, organizing raw data into meaningful patterns and characteristics before the virtual modeling stage. This preliminary action reduces the complexity of subsequent processing steps by pre-structuring data in a format that is ready for virtual environment integration, rather than processing all raw data from scratch.
Data Source
AI summary
Systems and methods for facilitating virtual operation of a virtual vehicle within a virtual environment are disclosed. According to aspects, a computing device may access a data model indicative of real-life operation of a real-life vehicle by a real-life operator and, based on the data model, generate a set of virtual vehicle movements that are reflective of a performance of the real-life operation of the real-life vehicle by the real-life operator. The computing device may display, in a user interface, the virtual vehicle undertaking the set of virtual vehicle movements such that the real-life operator may review the virtual movements and potentially be motivated to improve his/her real-life vehicle operation.