Lane-Change Route Planning Using Predicted Gaps Between Vehicles
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Solution Overview
Problem
Existing travel route generation systems fail to accurately recognize and manage the space between peripheral vehicles when a host vehicle changes lanes, particularly due to varying speeds of adjacent vehicles, which poses a safety risk during lane changes.
Innovation Solution
A travel route generation system that includes sensors to acquire road and obstacle information, an arithmetic device to predict the size changes of spaces between peripheral vehicles, and generate a target travel route based on these predictions, ensuring safe lane changes by selecting appropriate target spaces and adjusting for relative speeds and distances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the host vehicle changes lanes based on current space recognition between peripheral vehicles, then the lane change operation can be executed, but the safety is compromised because the space size changes due to varying speeds of peripheral vehicles
Solution Approach 1:
The system performs preliminary actions by predicting the future size of the target space before the lane change operation is executed. The arithmetic device calculates the predicted target space size based on current space measurements and relative speed differences, allowing the system to plan the lane change in advance with knowledge of future space conditions, thereby ensuring safety while enabling the operation.
Solution Approach 2:
The system applies dynamics by transitioning from a static space recognition approach to a dynamic prediction approach. Instead of treating the target space size as fixed, the system continuously updates the predicted space size based on the movement speeds of peripheral vehicles, making the lane change decision adaptable to changing conditions and ensuring safety throughout the operation.
2Device complexity
If the system uses static space recognition between peripheral vehicles, then the target travel route can be generated simply, but the accuracy of space recognition deteriorates due to vehicle speed variations
Solution Approach 1:
The system performs preliminary calculation of the predicted target space size by incorporating relative speed information before generating the final target travel route. This preliminary action allows the system to account for future space changes without significantly increasing overall system complexity, as the prediction is based on straightforward speed differential calculations.
Solution Approach 2:
The system applies parameter changes by transforming the static target space size parameter into a dynamic predicted target space size parameter. The arithmetic device modifies the space size parameter based on relative speed differences between the host vehicle and peripheral vehicles, thereby improving measurement precision while maintaining reasonable system complexity.
3Measurement precision
If the system predicts future position of target space based on moving speed, then the accuracy of target space recognition is improved, but the complexity of route generation increases
Solution Approach 1:
The system performs preliminary prediction of the target space future position using the moving speed of peripheral vehicles. This prediction is calculated in advance before the lane change execution, allowing the route generation process to use pre-computed position data rather than requiring complex real-time calculations during the actual lane change maneuver.
Solution Approach 2:
The system applies dynamics by implementing a dynamic prediction mechanism that updates the target space position based on relative movement speeds. The arithmetic device calculates the predicted position by combining current position data with speed-based displacement projections, creating a dynamic yet computationally efficient approach to improving position recognition accuracy.
Data Source
AI summary
A vehicle driving assistance system includes a travel route generation system that acquires travel road information and obstacle information acquired by sensor(s), and generates the target travel route, on which a host vehicle travels, on a travel road. When the host vehicle changes lanes, the system acquires information on three peripheral vehicles, which exist near the host vehicle, on a change destination lane from the obstacle information, sets a target space, to which the host vehicle 1 should move, between two each of the three peripheral vehicles on the change destination lane based on this information on the three peripheral vehicles, predicts a change in size of each of the target spaces, and generates the target travel route, on which the host vehicle travels during the lane change, on the basis of this predicted change in the size of each of the target spaces.