Autonomous Vehicle Lane Dispersion via Randomized Control
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Solution Overview
Problem
Autonomous driving vehicles, when numerous, tend to congregate in the same lane, leading to traffic flow imbalances and congestion due to the lack of dispersion in path selection, as they follow the same path determination method.
Innovation Solution
Implementing a system where autonomous driving vehicles use control devices to randomly select lanes based on generated random numbers and lane threshold values, ensuring dispersion across multiple lanes, and adjusting these values to match vehicle distribution targets and characteristics, thereby preventing lane concentration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If autonomous driving vehicles use the same path determination method to select lanes, then individual vehicle path selection accuracy is improved, but traffic flow distribution deteriorates due to lane concentration
Solution Approach 1:
The patent introduces a lane selection parameter that incorporates both path determination results and lane distribution state information. By dynamically adjusting the lane selection parameter based on the current distribution of autonomous vehicles across lanes, the system modifies the decision-making parameter to prevent concentration while maintaining individual path accuracy.
Solution Approach 2:
The control device receives feedback regarding the distribution state of autonomous driving vehicles in each lane and uses this information to adjust lane selection decisions. This feedback mechanism allows the system to monitor and correct lane concentration issues in real-time, ensuring balanced traffic flow while maintaining effective path determination.
2Stability of the object's composition
If autonomous driving vehicles follow deterministic path determination rules, then decision consistency is improved, but traffic flow balance deteriorates due to simultaneous lane change decisions
Solution Approach 1:
The patent transforms the static, deterministic lane selection rule into a dynamic decision-making process. The lane selection parameter is no longer fixed but varies based on real-time distribution state feedback, allowing the system to adapt its behavior while maintaining the underlying path determination logic. This dynamic adjustment prevents simultaneous lane change decisions that cause traffic imbalance.
Solution Approach 2:
The system changes the lane selection parameter from a deterministic value to a probabilistic or adjustable parameter that incorporates distribution state information. This parameter modification allows vehicles to maintain consistent decision-making frameworks while producing varied outcomes that balance traffic flow across lanes.
Data Source
AI summary
An autonomous driving vehicle sets a travelable area in which the autonomous driving vehicle can travel in a process of going to a destination. In a multiple-lane area including two or more lanes in the travelable area, one lane is determined as a standard travel lane. Processing of determining the standard travel lane is configured so that dispersion occurs to standard travel lanes which are determined by a plurality of autonomous driving vehicles in a same multiple-lane area placed under a same environment.