In-Vehicle Call Scheduling Based on Driving Complexity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for handling incoming calls in a motor vehicle prioritize driver safety but neglect the caller's need for immediate communication and the vehicle occupant's desire for optimal call reception.
Innovation Solution
A method that determines the current and future driving situation complexity to schedule calls, allowing for the transmission of possible call times or intervals, enabling flexible conversation durations and complexities, and using advanced computing in the vehicle's subscriber device to predict and manage call conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If incoming calls are blocked or delayed when the driver is under high stress, then driver safety is improved, but the caller's need for immediate communication and the vehicle occupant's desire for optimal call reception are neglected
Solution Approach 1:
The system performs preliminary assessment of the driving situation by evaluating current and future driving complexity indicators before determining call scheduling decisions. This advance preparation allows the system to proactively identify suitable call time windows while the vehicle is in a safe state, rather than reactively blocking calls after they arrive.
Solution Approach 2:
The call scheduling system dynamically adjusts call timing based on real-time driving situation assessment. The motor vehicle determines current driving situation complexity and future driving situation complexity, then dynamically selects optimal call times or time intervals when driving conditions are favorable, making the system adaptable to changing driving conditions.
2Productivity
If calls are scheduled based on current driving situation only, then immediate communication needs are met, but future safety concerns may arise during the conversation
Solution Approach 1:
The system performs preliminary assessment of future driving situation complexity by evaluating navigation data, traffic information, and route characteristics ahead of time. This allows the system to predict potential safety issues during the planned conversation period and adjust the scheduling decision accordingly, ensuring both immediate communication needs and future safety are addressed.
Solution Approach 2:
The scheduling unit receives feedback from the motor vehicle regarding both current and future driving situation complexity. This feedback mechanism allows the system to continuously monitor whether the scheduled call time remains appropriate and to adjust scheduling decisions based on predicted future conditions, ensuring safety throughout the conversation duration.
Data Source
AI summary
A driving situation complexity is determined in a motor vehicle in order to schedule a telephone call made by the vehicle driver or other vehicle occupant in advance and to transmit corresponding indications to a possible caller.