Autonomous Vehicle Positioning Templates for Highway Traffic Flow
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Solution Overview
Problem
Current autonomous vehicle (AV) and semi-autonomous vehicle (SAV) systems face challenges in long-term traffic flow management, particularly in coordinating the configuration of multiple vehicles on highways, leading to inefficiencies and increased collision risks.
Innovation Solution
A system that uses a computing device to communicate with vehicles over a network, retrieving and implementing vehicle configuration templates that adjust positional and dynamic parameters to optimize traffic flow, based on historical data and real-time traffic analysis, ensuring efficient and safe vehicle positioning and movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicle systems use vehicle control systems to interpret sensory information and decide navigation paths, then collision minimization is improved, but system complexity increases significantly when designed for long-term traffic flow management
Solution Approach 1:
The patent divides the highway into multiple road regions with virtual geographic boundaries defined by GPS coordinates. Each road region can have independent traffic configuration templates, allowing the system to manage complexity by segmenting the overall traffic management problem into smaller, region-specific control units while maintaining collision avoidance capabilities.
2Productivity
If vehicle configuration templates adjust positional and dynamic parameters to optimize traffic flow, then traffic flow efficiency is improved, but coordination complexity among multiple vehicles increases
Solution Approach 1:
The system pre-defines traffic configuration templates for different road regions before vehicles enter them. These templates contain predetermined positional and dynamic parameters that vehicles automatically implement, eliminating the need for real-time complex coordination negotiations and improving traffic flow efficiency while reducing coordination complexity.
Solution Approach 2:
The computing device receives vehicle position and dynamic information from vehicles at road region boundaries, determines traffic configuration based on this feedback, and adjusts configuration templates accordingly. This closed-loop feedback mechanism enables efficient traffic flow management while keeping coordination complexity manageable through systematic information collection and response.
3Manufacturing precision
If the system implements vehicle transition sequences to conform to desired vehicle dynamics and position, then positioning precision is improved, but control complexity increases
Solution Approach 1:
The system implements dynamic vehicle transition sequences that automatically adjust vehicle positioning and dynamics based on real-time traffic configuration requirements. The computing device monitors vehicle positions and coordinates transitions to achieve precise positioning while managing control complexity through automated, rule-based transition management rather than manual coordination.
Data Source
AI summary
Systems and methods are provided to implementing a set of instructions related to a vehicle configuration template at a vehicle. Vehicle configuration templates may define instructions for automated vehicle driving parameters within a particular road region. The set of instructions within the first road region may correspond with a vehicle transition sequence based on the vehicle configuration template, where the vehicle transition sequence adjusts at least one of a vehicle position and dynamics to achieve a desired traffic flow.