Intelligent Land Buoy Dynamic Routing for Autonomous Vehicles
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Solution Overview
Problem
Current autonomous and semi-autonomous vehicle technologies face limitations in acquiring granular situational awareness information, leading to insufficient safety and efficiency in navigation, particularly in dynamic and unpredictable road conditions such as adverse weather, unexpected events, and traffic congestion.
Innovation Solution
A dynamic routing intelligent vehicle enhancement system utilizing intelligent land buoys that gather and process situational awareness information from roadways and vehicles, transmitting operational intelligence to vehicles to enable safe and efficient navigation, including predictive alerts and dynamic route adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles use conventional navigation technologies with localized information (line of sight, immediate road obstructions), then the system complexity remains manageable, but the safety and reliability are insufficient due to limited information quality
Solution Approach 1:
The patent introduces intermediary devices (smart poles, roadside units, sensors) that act as mediators between the environment and the autonomous vehicle. These intermediaries collect, process, and transmit granular situational awareness information to the vehicle, enhancing safety without requiring the vehicle itself to carry all sensing equipment, thus managing system complexity through distributed architecture
Solution Approach 2:
The system segments the information gathering function across multiple distributed components rather than concentrating all sensing in the vehicle. Roadside sensors, smart poles, and infrastructure elements are divided into discrete units that collectively provide comprehensive situational awareness, improving reliability while keeping individual components manageable in complexity
2Productivity
If autonomous vehicles rely on limited localized information, then the device complexity is reduced, but the productivity and efficiency of navigation are worsened due to inability to optimize routes dynamically
Solution Approach 1:
The system implements continuous feedback loops where roadside sensors monitor road conditions, traffic flow, and environmental factors, then transmit this information back to autonomous vehicles in real-time. This feedback enables dynamic route optimization and efficient navigation by providing up-to-date situational awareness without requiring the vehicle to carry all sensing capabilities
Solution Approach 2:
The infrastructure performs preliminary information gathering and processing before vehicles need it. Roadside units continuously monitor and pre-process situational data, so when vehicles query for navigation information, they receive pre-analyzed, actionable intelligence rather than raw data, improving navigation efficiency while reducing the information processing burden on vehicles
3Reliability
If the system provides comprehensive granular information to ensure safety, then the reliability improves, but the loss of time for data processing and transmission increases
Solution Approach 1:
The system extracts and separates critical safety information from the comprehensive data stream. Roadside units filter and prioritize only the most relevant situational awareness data for transmission to vehicles, ensuring safety-critical information is delivered quickly without transmitting all available data, thus reducing processing time while maintaining reliability
Solution Approach 2:
The system provides partial information - specifically the most critical granular details needed for safety decisions - rather than transmitting complete comprehensive data sets. This selective information delivery ensures safety through provision of essential details while minimizing data transmission and processing time
Data Source
AI summary
Embodiments of the invention provide a dynamic routing intelligent vehicle enhancement system and method. Intelligent land buoys can be proximately disposed to roadways. Each of the intelligent land buoys can gather situational awareness information about the roadways and one or more vehicles traveling thereon. The intelligent land buoys can compress the situational awareness information. One or more remote computer servers can receive the compressed situational awareness information from the plurality of intelligent land buoys, decompress it, and process the decompressed situational awareness information. The one or more remote computer servers can generate vehicle operational intelligence information based at least on the decompressed situational awareness information, and can transmit the vehicle operational intelligence information to the plurality of intelligent land buoys and/or directly to one or more autonomous or semi-autonomous vehicles.