Intelligent Road Infrastructure for Connected Automated Vehicles
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Solution Overview
Problem
Current systems for autonomous vehicles require complex and expensive on-board systems, making widespread implementation of connected and automated vehicles (CAVs) challenging due to high costs and complexity.
Innovation Solution
The development of a connected automated vehicle highway (CAVH) system with an intelligent road infrastructure system that provides customized and route-specific operations, control, and services for CAVs, using modules and methods to offer real-time control instructions and information optimized for specific routes based on user requests, integrating with cloud systems and roadside units for traffic management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If complex on-board systems are used for autonomous vehicles, then vehicle control capability is improved, but system cost and complexity increase
Solution Approach 1:
The patent introduces roadside units and cloud-based traffic management systems as intermediaries between vehicles and the infrastructure. These intermediaries handle complex processing tasks, allowing vehicles to have simpler on-board systems while maintaining high automation capabilities through communication with the infrastructure.
Solution Approach 2:
The patent shifts the complexity from the vehicle dimension to the infrastructure dimension. By moving processing power and control logic to roadside units and cloud systems, the vehicle systems can be simplified while the overall system maintains high automation through the added infrastructure layer.
2Extent of automation
If expensive on-board systems are deployed, then autonomous vehicle functionality is improved, but implementation cost increases
Solution Approach 1:
The infrastructure acts as an intermediary that provides advanced functionality to vehicles without requiring expensive on-board equipment. Roadside units and traffic management systems deliver autonomous driving capabilities through communication infrastructure rather than through costly vehicle-mounted systems.
Solution Approach 2:
The traffic management system and roadside units serve multiple vehicles and multiple functions simultaneously. A single infrastructure deployment can support numerous vehicles, providing autonomous functionality at a lower per-vehicle cost compared to equipping each vehicle with expensive independent systems.
3Productivity
If route-specific control instructions are provided, then navigation efficiency is improved, but system complexity increases
Solution Approach 1:
The system provides customized control instructions tailored to specific routes, vehicles, and traffic conditions. Each vehicle receives locally optimized guidance based on its destination, vehicle characteristics, and real-time road conditions, improving navigation efficiency without requiring universally complex systems.
Solution Approach 2:
The traffic management system pre-calculates optimal routes and control instructions based on predicted traffic conditions and vehicle destinations. By preparing control strategies in advance and adjusting them in real-time, the system improves navigation efficiency while managing complexity through proactive rather than reactive control.
Data Source
AI summary
The technology provides systems and methods for a system providing customized and route-specific operations, control, and services for connected and automated vehicles (CAVs) according to user origin and destination requests, based on connected automated vehicle highway (CAVH) systems which includes an intelligent road infrastructure system providing transportation management and operations and individual vehicle control for CAV.