Vehicle Route Selection for Longest Autonomous Driving Duration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Drivers of vehicles capable of switching between autonomous and manual driving lack information to effectively select routes with the longest duration of autonomous driving capability, as existing systems do not provide clear distinctions between drivable and non-drivable sections or prioritize autonomous driving time.
Innovation Solution
An information processing device that extracts autonomously drivable sections in a vehicle's route, identifies the section with the longest autonomous driving time, and outputs this information to the driver, utilizing an in-vehicle device connected to a management server for traffic data, allowing the driver to select routes with the most time suitable for autonomous driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the system provides basic route information without autonomous driving time data, then the system complexity is low, but the driver cannot effectively select routes with the longest autonomous driving capability
Solution Approach 1:
The patent extracts autonomous driving time information from the complete route data and presents it separately to the driver. The system identifies and extracts the longest autonomously drivable section duration, displaying it prominently to help drivers make informed route selections without overwhelming them with all raw data.
Solution Approach 2:
The route information is segmented into distinct components: total route information, autonomously drivable sections, and the specific longest continuous autonomous driving section. This segmentation allows the system to provide comprehensive information while maintaining clarity and ease of understanding for the driver.
2Ease of operation
If the system calculates and displays detailed autonomous driving time for each section, then the route selection information is improved, but the information processing time and computational load increase
Solution Approach 1:
The system pre-calculates autonomous driving times for all sections and identifies the longest continuous autonomously drivable section before the driver makes a route selection. This preliminary processing allows for rapid route comparison and selection, reducing the time burden at the moment of decision-making.
Solution Approach 2:
Rather than providing uniform detailed analysis of all route sections, the system focuses computational resources on identifying and highlighting the longest continuous autonomous driving section, which is the most valuable information for drivers seeking to maximize autonomous driving experience.
Data Source
AI summary
The information processing device extracts one or a plurality of autonomously drivable sections in the traveling route of the vehicle to the destination. Further, the information processing device specifies the first section having the longest autonomous driving continuable time on the traveling route. Then, the information processing device outputs the autonomous driving continuable time in the first section.