Automatic Driving Device Route Selection via Vehicle Ratio
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Solution Overview
Problem
Existing automatic driving devices face high computational burdens when searching for routes, particularly when multiple routes are considered, as they need to predict the behavior of various vehicles, leading to increased calculation requirements.
Innovation Solution
An automatic driving device that selects a route based on the ratio of automatically-driving vehicles to total vehicles, using position information to calculate and prioritize routes with higher automatically-driving vehicle ratios, thereby reducing prediction ranges and computational load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system searches for multiple routes and predicts behavior of all other vehicles, then route selection accuracy is improved, but calculation amount increases
Solution Approach 1:
The patent extracts only the necessary subset of vehicles for behavior prediction by identifying automatically-driving vehicles through V2X communication. Instead of predicting behavior of all other vehicles on searched routes, the system selectively predicts behavior only of automatically-driving vehicles, thereby reducing calculation amount while maintaining route selection accuracy.
Solution Approach 2:
The patent performs preliminary identification of automatically-driving vehicles using V2X communication before route selection. By acquiring position information and identifying automatically-driving vehicles in advance, the system prepares the necessary data structure to reduce subsequent calculation burden during route prediction and selection.
2Reliability
If the system predicts behavior of all other vehicles, then safety is improved, but processing time increases
Solution Approach 1:
The patent extracts only the critical subset of vehicles (automatically-driving vehicles) for behavior prediction based on V2X communication data. This selective approach maintains safety by focusing prediction resources on vehicles that can communicate their intentions, while reducing processing time by excluding manual vehicles from intensive prediction calculations.
Solution Approach 2:
The system performs preliminary classification of vehicles into automatically-driving and manual categories using V2X communication before route prediction. This preliminary action enables the system to allocate processing resources efficiently, maintaining safety through accurate prediction of automated vehicle behavior while reducing overall processing time.
Data Source
AI summary
An automatic driving device includes a position acquisition unit configured to acquire position information on another automatically-driving vehicle and another manually-driving vehicle, a route searching unit configured to search a route, a calculation unit configured to calculate a ratio of the number of the other automatically-driving vehicles to a total number of all other vehicles on the route for each route based on the position information on the other automatically-driving vehicle and the position information on the other manually-driving vehicle when a plurality of routes is searched, a selection unit configured to select the route wherein the other automatically-driving vehicle ratio calculated by the calculation unit is highest as a route for the host vehicle to travel, and a control unit configured to control automatic driving of the host vehicle so travel along the selected route.