Driver Reaction Time Measurement System
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Solution Overview
Problem
Current methods for determining driver distraction issues are inaccurate, time-consuming, and resource-intensive, lacking flexibility in evaluating and addressing driver reaction times during driving events.
Innovation Solution
A computer-based system that determines and monitors driver reaction times, detects distraction events, and logs differences to alert drivers and potentially disable distracting functions during driving, using sensors and mobile device integration to measure baseline and current reaction times and correlate them with driving events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to determine driver distraction issues, then evaluation can be performed, but the process is inaccurate, time-consuming, and resource-intensive
Solution Approach 1:
The patent replaces traditional mechanical observation and manual evaluation methods with electronic sensors and computer processing systems. Sensors mounted in the vehicle automatically detect driver reactions to events, and a computer processor analyzes the data to determine reaction times and distraction events, eliminating the need for time-consuming manual evaluation while improving measurement accuracy.
Solution Approach 2:
The system enables automatic self-evaluation of driver distraction by using onboard sensors to detect driver actions and reactions. The computer processor automatically logs driver actions, compares current reactions to baseline data, and identifies distraction events without requiring external evaluators, thereby reducing both time and resource requirements.
2Reliability
If traditional evaluation methods are used, then driver distraction can be assessed, but the process requires a large amount of resources
Solution Approach 1:
The patent substitutes resource-intensive manual assessment processes with an automated electronic system consisting of sensors, processors, and storage devices. This electronic system reliably tracks driver reactions and identifies distraction events using computational analysis rather than human observation, significantly reducing resource requirements while maintaining or improving assessment reliability.
Solution Approach 2:
The system creates digital copies of driver behavior data through sensor measurements and logs these reactions in electronic format. By capturing and analyzing digital representations of driver responses rather than requiring physical observation, the system reduces resource consumption while maintaining reliable assessment capabilities.
3Adaptability or versatility
If baseline reaction times are established and monitored, then driver distraction events can be identified, but the system complexity increases
Solution Approach 1:
The patent designs a multi-functional system where sensors serve multiple purposes: detecting driver reactions to events, establishing baseline reaction times, monitoring current reactions, and identifying distraction events. The computer processor performs multiple functions including data logging, baseline comparison, and distraction event determination, reducing overall system complexity through functional integration.
Solution Approach 2:
The system combines baseline establishment, real-time monitoring, and distraction detection functions into a single integrated measurement system. Sensors and processors work together to simultaneously capture driver reactions, compare them against baselines, and identify distractions, simplifying the system architecture compared to separate systems for each function.
Data Source
AI summary
A method and system for measuring driver reaction times is provided. The method includes identifying a driver of a vehicle and determining reaction times associated with a set of driving functions executed by the driver during a first driving process. The driver is determined to be currently driving the vehicle and currently executed driving functions are monitored. Current reaction times associated with the currently executed driving functions are identified and compared to the reaction times. Differences between the current reaction times and the reaction times are determined and logged. The differences indicate that the driver is currently executing a first driving distraction event and in response specified functions associated with the currently executed driving functions and/or the first driving distraction event are executed.