Autonomous Vehicle Zone Tracking via Local Digital Models
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Solution Overview
Problem
High data traffic load caused by frequent communications between vehicles and a remote server for tracking changes in geographical areas leads to network saturation, especially in scenarios with a high number of vehicles or high mobility, due to limited communication network capacity.
Innovation Solution
Vehicles autonomously determine their operational zone and geographical area changes, broadcasting messages with geographic area information, including complete addresses or direction indicators, to reduce data transmission, using ad-hoc communication networks and storing digitized models locally to minimize reliance on external infrastructure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicles communicate frequently with a remote server to report geographical area changes, then tracking precision is improved, but data traffic load increases causing network saturation
Solution Approach 1:
Vehicles autonomously determine their own geographical area changes by comparing their current position with stored digitized models of geographical areas. Each vehicle independently identifies when it has left a geographical area and generates its own tracking reports, eliminating the need for continuous server verification and reducing communication overhead while maintaining tracking precision.
Solution Approach 2:
Vehicles are pre-loaded with digitized models of geographical areas during a configuration phase before actual tracking begins. This preliminary action allows vehicles to have all necessary geographical boundary data stored locally, enabling them to autonomously determine area changes without needing to query the server for each position update, thus reducing real-time data traffic.
2Adaptability or versatility
If a centralized remote server manages all tracking communications, then tracking coordination is improved, but device complexity increases
Solution Approach 1:
The tracking system is segmented into independent vehicle units that each possess the capability to autonomously determine their geographical area status. Instead of a monolithic centralized system where the server performs all calculations, the functionality is distributed to individual vehicles, reducing the complexity burden on any single component while maintaining overall system coordination.
Data Source
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AI summary
The method involves determining a geographical zone (18) from a map (16) with a predetermined level of granularity containing an entity (10). A change of zone is detected as a function of geographical coordinates of a monitored entity. A new level of granularity is applied as a function of operational destination zones (24a, 24b). The granularity level and the geographical zone determination steps, the zone change detection step and the granularity level application step are independently carried out within each entity without outside communications when the operational zone is changed. An independent claim is also included for an entity moving in a monitored space represented by a digital model.