Parking Area Association for Autonomous Vehicle Routing
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Solution Overview
Problem
Current vehicle routing systems lack the ability to effectively associate parking areas with destinations, particularly in autonomous vehicle navigation, where parking area information is often missing or not accurately generated, leading to inefficiencies in route planning and execution.
Innovation Solution
A system that utilizes a processor to identify and generate parking area association information by filtering operating information from vehicles and infrastructure devices, correlating this data to determine target parking areas and optimize routes from origins to destinations within a vehicle transportation network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If parking area information is not included in transportation network information, then the routing system is simpler, but the autonomous vehicle cannot accurately identify or navigate to appropriate parking areas
Solution Approach 1:
The system pre-generates parking area association information by filtering and processing operating information from multiple vehicles before routing decisions are made. This preliminary data preparation includes identifying parking operations, correlating them with destinations, and storing the associations in advance, so that when a routing decision is needed, the information is already ready and structured for quick access.
Solution Approach 2:
The patent introduces parking area association information as an intermediary data structure that connects raw operating information with routing decisions. This intermediary layer processes and structures the relationship between vehicle operations and parking areas, making the complex data manageable and useful for routing algorithms without requiring direct complex processing of raw operating data.
2Reliability
If the system processes operating information from all vehicles, then more comprehensive parking area data is obtained, but the data filtering and processing time increases
Solution Approach 1:
The system extracts only the relevant parking operation information from the comprehensive operating data of multiple vehicles. By filtering for specific parking events and correlating them with destination information, the system obtains reliable parking area associations without processing every detail of vehicle operating data, thus reducing processing time while maintaining data accuracy.
Solution Approach 2:
The system performs preliminary filtering and correlation of operating information to pre-identify reliable parking area associations. This advance processing creates a structured dataset of validated parking destinations, eliminating the need for real-time analysis of all raw operating data when routing decisions are made.
3Productivity
If parking area association information is automatically generated, then manual data entry is reduced, but the complexity of data filtering and correlation algorithms increases
Solution Approach 1:
The system automatically generates parking area association information by having vehicles and infrastructure devices self-report their operating data. The correlation algorithms automatically process this self-reported information to identify parking operations and associate them with destinations, eliminating manual data entry while the automation handles the complexity of data processing.
Solution Approach 2:
The operating information collection system serves multiple functions: it gathers vehicle location data, identifies parking operations, correlates destinations, and generates parking area associations all through a single multi-functional data processing framework. This universal approach handles diverse data types and processing needs within one system architecture.
Data Source
AI summary
A method and apparatus for associating parking areas with destinations may include a vehicle identifying transportation network information including a primary destination and parking area information representing a plurality of parking areas, such that the parking area information includes automatically generated parking area association information describing an association between at least one parking area and the primary destination. The vehicle may determine a target parking area from the plurality of parking areas for the primary destination based on the transportation network information, and identify a route from an origin to the target parking area in the vehicle transportation network using the transportation network information. The vehicle may include a trajectory controller configured to operate the vehicle to travel from the origin to the target parking area using the route.