Automated Driving Function Allocation Across Vehicle and Highway Intelligence
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Solution Overview
Problem
Current Connected Automated Vehicle (CAV) systems face limitations due to high costs and performance constraints related to the number of sensors and computation devices, leading to inefficiencies and safety concerns in automated driving tasks.
Innovation Solution
The implementation of a Function Allocation System (FAS) that dynamically allocates sensing, decision-making, and control functions between the CAV system and the CAH system at different intelligence levels and scenarios, optimizing the distribution of tasks to enhance efficiency and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If CAV systems use numerous sensors and computation devices to improve sensing and decision-making capabilities, then measurement precision and reliability improve, but device complexity and cost increase
Solution Approach 1:
The patent segments the automated driving system into multiple intelligence levels (L1-L5), with different sensor and computation configurations for each level. This allows the system to be tailored to specific performance requirements without necessarily implementing all sensors at maximum capability, thus reducing complexity while maintaining adequate precision for the intended automation level.
Solution Approach 2:
The patent describes a unified CAVH system architecture where infrastructure components (roadside units, communication networks) serve multiple functions including sensing, communication, and control across different vehicle types and automation levels. This multi-functionality reduces the need for dedicated specialized components, thereby reducing overall system complexity.
2Reliability
If CAV systems implement comprehensive sensing and decision-making functions to improve safety, then reliability improves, but device complexity and computational requirements increase
Solution Approach 1:
The patent introduces roadside intelligent units and infrastructure components as intermediaries between vehicles and the central control system. These intermediaries perform preliminary sensing, data processing, and decision support, reducing the computational burden on individual vehicle systems while maintaining high reliability through distributed intelligence.
Solution Approach 2:
The patent shifts part of the computational complexity from the vehicle dimension to the infrastructure dimension by implementing intelligent roadside units and centralized control systems. This dimensional redistribution allows vehicles to have simpler onboard computation while the system as a whole achieves high reliability through the enhanced infrastructure layer.
3Productivity
If CAVH systems allocate more control and decision-making functions to the CAH system to improve overall system efficiency, then productivity improves, but the complexity of coordination and communication between systems increases
Solution Approach 1:
The patent merges the CAV system and CAH system into an integrated CAVH architecture with unified communication protocols and coordinated control. By combining these systems at the architectural level with standardized interfaces, the patent reduces coordination complexity compared to separate independent systems while improving overall productivity through synergistic operation.
4Reliability
If CAV systems use advanced sensing equipment to improve traffic safety and congestion management, then reliability and productivity improve, but capital costs and energy consumption increase
Solution Approach 1:
The patent uses roadside intelligent units and infrastructure components as intermediaries that perform sensing and data processing functions. This allows vehicles to use simpler, less expensive sensors while the infrastructure provides enhanced sensing capabilities, thereby improving traffic safety without requiring every vehicle to be equipped with expensive advanced sensing equipment.
Solution Approach 2:
The patent replaces some vehicle-mounted mechanical and electronic sensing systems with infrastructure-based sensing and communication systems. By substituting vehicle-centric hardware with infrastructure-based solutions, the patent reduces capital costs for individual vehicles while maintaining or improving overall traffic safety through the distributed sensing network.
Data Source
AI summary
Provided herein is technology relating to intelligent transportation systems and automated vehicles and particularly, but not exclusively, to function allocation systems and methods for a connected automated vehicle highway system that provides transportation management and operations and vehicle control for connected and automated vehicles.