Vehicle Information Processing Apparatus for Risk-Avoiding Navigation
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Solution Overview
Problem
Existing vehicle information processing systems lack the ability to effectively assess and utilize driving skill levels of multiple drivers to provide personalized and safe navigation routes, particularly in areas where less skilled drivers are present, leading to potential safety risks.
Innovation Solution
An information processing apparatus and system that acquires and processes driving skill levels of multiple vehicles, generating a risk map to indicate the presence of vehicles on a road map based on skill levels and providing a recommended route to avoid regions with high concentrations of less skilled drivers, utilizing sensors and communication devices to transmit and receive data between vehicles and a server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If driving skill levels of multiple drivers are acquired and processed to generate risk maps, then driver safety is improved, but device complexity increases
Solution Approach 1:
The system divides the information processing function into separate modules: a skill level acquiring unit that collects driver skill data, a vehicle position information acquiring unit that tracks vehicle locations, and a map information acquiring unit that generates risk maps. This segmentation allows each component to handle specific tasks independently, improving safety while managing system complexity through functional decomposition.
Solution Approach 2:
The information processing apparatus acts as an intermediary between the control apparatus (which determines driving skill levels) and the navigation system (which uses this information for route planning). This mediator processes and integrates skill level data with position information to generate risk maps, thereby improving driver safety without requiring direct complex integration between all system components.
2Reliability
If map information is generated based on driving skill levels and position information, then navigation safety is improved, but information processing time increases
Solution Approach 1:
The system performs preliminary actions by continuously acquiring and processing driving skill levels and vehicle position information in the background before route planning is needed. The skill level acquiring unit and vehicle position information acquiring unit operate proactively to prepare data, so that when map information is needed for navigation, the processing time is reduced while maintaining high navigation safety.
3Object-affected harmful factors
If risk maps are generated to avoid areas with less skilled drivers, then accident likelihood is reduced, but system complexity increases
Solution Approach 1:
The system applies local quality by generating risk maps that identify specific geographic areas with high concentrations of less skilled drivers. Instead of applying a uniform approach across all regions, the map information acquiring unit creates location-specific risk assessments, allowing the navigation system to provide targeted route recommendations that avoid harmful areas while maintaining overall system simplicity through localized processing.
Data Source
AI summary
An information processing apparatus, for a vehicle, includes a skill level acquiring unit, a vehicle position information acquiring unit, and a map acquiring generating unit. The skill level acquiring unit is configured to acquire driving skill levels of respective drivers of a plurality of vehicles. The vehicle position information acquiring unit is configured to acquire pieces of position information of the vehicles. The map acquiring generating unit is configured to acquire map information on the basis of the driving skill levels acquired by the skill level acquiring unit and the pieces of position information acquired by the vehicle position information acquiring unit. The map information indicates presence of the vehicles on a road map in accordance with the respective driving skill levels of the drivers of the vehicles.