Vehicle Activity Recommendation During Shared Autonomous Driving
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Solution Overview
Problem
There is a need for a method to optimize user convenience and safety during autonomous driving by calculating available autonomous driving time and recommending activities that can be executed during this time, considering the schedules of multiple vehicles capable of communication.
Innovation Solution
A method that involves searching for other vehicles capable of communication, calculating a commonly available autonomous driving time period, and displaying a list of executable activities based on this time, allowing users to select and participate in these activities when both vehicles are in autonomous driving mode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If autonomous driving is performed to save driving time, then user convenience is improved, but users lack meaningful activities to perform during this time
Solution Approach 1:
The system automatically searches for other vehicles, calculates commonly available time periods, and generates activity recommendations without requiring manual user input, allowing users to passively benefit from the autonomous driving time through self-organized activities
Solution Approach 2:
The system performs preliminary calculations of autonomous driving schedules and identifies suitable activity time periods in advance, preparing activity recommendations before users need to make decisions about how to spend their autonomous driving time
2Loss of time
If activity recommendations are provided based on multiple vehicle schedules, then time utilization is improved, but system complexity increases
Solution Approach 1:
The system divides the problem into separate modules: schedule information acquisition, commonly available time calculation, and activity recommendation generation, allowing each module to handle specific tasks independently and reducing overall system complexity
Solution Approach 2:
The controller acts as an intermediary that receives schedule information from multiple vehicles, processes this information to calculate overlapping time periods, and generates activity recommendations, simplifying the interaction between multiple vehicles and the activity recommendation system
3Productivity
If commonly available time is calculated based on multiple vehicle schedules, then activity coordination is improved, but calculation complexity increases
Solution Approach 1:
The calculation process is segmented into distinct steps: acquiring individual vehicle schedules, identifying overlapping time periods, and generating activity recommendations, making the complex calculation task more manageable and efficient
Data Source
AI summary
A method of controlling a vehicle, and which includes wirelessly communicating, via a wireless communication unit, with at least one other vehicle; displaying, via a display, a list of activities that are executable together during a commonly available autonomous driving time period where both the vehicle and the least one other vehicle are operated in an autonomous driving mode; receiving, via a controller, a selection of an activity in the displayed list of activities; and displaying, via the display, an execution screen of the selected activity during the commonly available autonomous driving period.