Vehicle Behavior Planning for Dynamic Traffic Interaction Avoidance
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Solution Overview
Problem
Existing track evaluation devices assume constant velocity or acceleration motions for vehicles, which is not reflective of real-world traffic scenarios where vehicles interact dynamically, leading to ineffective track generation in actual traffic situations.
Innovation Solution
A vehicle behavior generation device that simulates multiple possible behaviors of both the own vehicle and surrounding vehicles, assigns rewards based on contact possibilities, and selects the behavior with the highest reward to optimize avoidance strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If constant velocity or acceleration motion is assumed for vehicles in track evaluation, then calculation simplicity is improved, but accuracy of traffic scenario representation deteriorates
Solution Approach 1:
The patent applies dynamics by transitioning from static assumptions (constant velocity/acceleration) to dynamic behavior modeling. The system generates multiple possible behaviors for each vehicle including lane changes, acceleration, deceleration, and turning maneuvers. This dynamic approach allows the track evaluation to adapt to realistic traffic scenarios where vehicles continuously change their motion states based on interactions with other vehicles and environmental conditions.
2Measurement precision
If multiple possible behaviors are simulated for own vehicle and different vehicles, then behavior selection accuracy is improved, but calculation complexity deteriorates
Solution Approach 1:
The patent applies segmentation by dividing the behavior simulation into discrete, manageable components. Each vehicle is assigned a set of predefined behavior types (lane change, acceleration, deceleration, turning), and the system evaluates combinations of these segmented behaviors. This segmentation allows the complex multi-vehicle interaction to be broken down into evaluable discrete scenarios, making the calculation tractable while maintaining comprehensive coverage of possible traffic situations.
Solution Approach 2:
The patent applies partial action by generating a limited but sufficient set of representative behaviors for each vehicle rather than simulating all theoretically possible behaviors. The system selects key behavior patterns that capture the essential dynamics of traffic interactions, evaluating enough scenarios to ensure accurate track selection without exhaustively computing every possible behavior combination, thus balancing accuracy with computational efficiency.
Data Source
AI summary
A vehicle behavior generation device sets multiple possible behaviors of an own vehicle when the own vehicle travels along a planned route; sets multiple possible behaviors of a different vehicle existing around the own vehicle corresponding to each of the set multiple possible behaviors of the own vehicle; outputs information indicating a contact possibility between the own vehicle and the different vehicle for each of combinations of the set multiple possible behaviors of the own vehicle and the set multiple possible behaviors of the different vehicle; and selects one of the multiple possible behaviors of the own vehicle based on the outputted information.