Vehicle Workload Determination via Remote Data Sharing
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Solution Overview
Problem
Existing vehicle systems fail to effectively share workload experiences between drivers in a geographic area, leading to inefficient information presentation and increased driver distraction and confusion, particularly due to the lack of consideration for varying driving demands and conditions.
Innovation Solution
A system and method that transmit and share workload-related data between vehicles, using a transceiver, positioning unit, and controller to determine and prioritize information presentation based on geographic location and sensor data from remote vehicles, allowing drivers to benefit from the experiences of others in specific areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If information is presented to drivers without considering driving demands and conditions, then the information delivery is simple and direct, but driver confusion and distraction increase
Solution Approach 1:
The system dynamically adjusts information presentation based on real-time driving conditions and workload levels. The navigation system monitors driving demands, road conditions, and driver state to adaptively control what information is displayed and when, transforming a static information delivery system into a dynamic one that responds to changing conditions.
Solution Approach 2:
The system incorporates feedback loops that continuously monitor driving conditions, workload levels, and driver responses. This feedback enables the system to adjust information presentation in real-time, ensuring that information is provided only when it will not exacerbate driver confusion or distraction.
2Reliability
If workload experiences are shared between drivers in a geographic area, then driver confusion and distraction are reduced, but data transmission and processing requirements increase
Solution Approach 1:
The system extracts only the essential workload experience data needed for safety improvements and transmits only this filtered information between vehicles. By taking out only the critical data elements rather than transmitting complete datasets, the system reduces energy consumption while maintaining safety benefits.
Solution Approach 2:
The system shares workload experiences specifically within local geographic areas where similar driving conditions exist. This localized approach ensures that only relevant data is transmitted and processed, reducing unnecessary energy consumption while providing targeted safety improvements for drivers in specific regions.
3Measurement precision
If extensive monitoring of vehicle and traffic situation is implemented, then information prioritization improves, but system complexity and computational requirements increase
Solution Approach 1:
The monitoring system is segmented into modular components that independently monitor specific aspects of driving conditions, vehicle state, and traffic situation. Each module processes a specific subset of data, and results are integrated to form the overall workload assessment. This segmentation reduces individual module complexity while maintaining comprehensive monitoring capability.
Data Source
AI summary
System and method for determining a workload level for a driver of a vehicle. The system includes a transceiver, a positioning unit, and a controller. The transceiver is capable of receiving data from a remote location. The data includes a remote workload level and a remote geographic position associated with the remote workload level. The positioning unit is capable of determining a current position of the vehicle. The controller is configured to compare the current position of the vehicle with the remote geographic location. If the current position of the vehicle is within a predetermined range of the remote geographic position, then a workload level for the vehicle will include at least in part the remote workload level.