Automobile Navigation System Predicting Driver Action
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Solution Overview
Problem
Conventional automobile navigation systems cause driver discomfort due to repetitive audio guidance, as the timing of turn signal activation varies among drivers, leading to unnecessary audio prompts.
Innovation Solution
An automobile navigation system that predicts a driver's action based on historical driving data, including speed and operation information, and provides audio guidance only when the predicted action disagrees with the required action at a guidance point, ensuring timely and necessary guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If audio guidance is provided based on turn signal detection, then the system can detect driver's reaction to guidance, but audio guidance is repeated causing driver discomfort
Solution Approach 1:
The system performs preliminary action by predicting the driver's intended action before the driver actually executes it (e.g., before turning signal activation). By analyzing driving data patterns in advance, the system determines whether audio guidance is needed ahead of time, preventing both missed guidance and unnecessary repetitions that cause driver discomfort.
2Productivity
If audio guidance is provided at fixed intervals, then the system ensures regular guidance updates, but guidance may be provided when not needed causing driver discomfort
Solution Approach 1:
The system applies dynamics by making audio guidance provision adaptive rather than fixed. The guidance frequency and timing dynamically adjust based on real-time analysis of driving data and predicted driver actions. This ensures guidance is provided at appropriate moments when actually needed, rather than at rigid intervals, thereby maintaining productivity while improving driver comfort.
3Device complexity
If the system waits for turn signal activation to provide guidance, then it follows conventional simple logic, but guidance is provided too late when driver is already at intersection
Solution Approach 1:
The system performs preliminary action by predicting driver behavior before the driver activates the turn signal or reaches the intersection. By analyzing patterns in driving data such as vehicle speed, position, and operational trends, the system determines the driver's intended action in advance and provides guidance proactively, eliminating the time loss associated with waiting for turn signal activation.
4Reliability
If audio guidance is provided repeatedly when driver does not respond, then the system ensures message delivery, but it causes driver discomfort due to unnecessary repetitions
Solution Approach 1:
The system applies self-service by using driving data to automatically determine when guidance is actually needed, eliminating the need for repetitive guidance based solely on lack of turn signal response. The system serves itself by intelligently interpreting driver behavior patterns and making informed decisions about guidance necessity, thereby ensuring reliable message delivery only when appropriate and avoiding unnecessary repetitions that discomfort the driver.
Data Source
AI summary
A driver's action at a target intersection in a guided route is predicted based on driving data. When the driver is attempting to go straight ahead at a target intersection where the driver should make a turn, or when the driver is attempting to make a turn at a target intersection where the driver should go straight ahead, the predicted driver's action is determined to disagree with the guided route. In this case, an execution of an audio guidance is performed but re-execution is awaited for a predetermined period. Further, when the driver is attempting to go straight ahead at a target intersection where the driver should make a turn, an audio guidance is executed after a distance to the target intersection is determined to be smaller than a required distance computed from a vehicle speed.