Telematics Control Unit Geographical Polygon Segmentation
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Solution Overview
Problem
Current telematics systems lack the ability to efficiently provide targeted marketing and services to vehicles based on their geographical location, and they do not effectively assess driving risk levels for road portions in real-time.
Innovation Solution
A telematics control unit equipped with GPS, cellular telephony, and SDARS technology that uses a database system to deliver targeted content and assess driving risk by processing data from multiple vehicles, utilizing a Kalman filter for location stabilization and a database structure that associates content files with unique identifiers corresponding to geographical polygons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a telematics system provides comprehensive traffic information and marketing services to all vehicles, then service coverage is improved, but system complexity and cost increase
Solution Approach 1:
The system segments service delivery by creating geographical polygons that divide the service area into discrete zones. Each polygon is associated with specific content files and unique identifiers, allowing the system to selectively provide services to vehicles within specific geographical segments rather than universally to all vehicles, thereby reducing overall system complexity while maintaining comprehensive coverage.
Solution Approach 2:
The system implements local quality by associating different content files and services with specific geographical polygons. Each polygon can have customized content and services tailored to its location, allowing the system to provide locally-relevant information to vehicles in specific areas while maintaining a standardized system architecture elsewhere.
2Reliability
If real-time driving risk assessment is performed for all road portions, then safety is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary action by pre-defining geographical polygons and associating content files with specific road portions and risk levels before vehicles arrive. This advance preparation allows the system to quickly match vehicle locations with pre-assessed risk information, providing real-time safety assessments without requiring extensive computational processing at the moment of query.
3Productivity
If targeted marketing content is delivered based on precise geographical location, then marketing effectiveness is improved, but location precision requirements increase system complexity
Solution Approach 1:
The system segments the geographical space into polygons with unique identifiers, creating discrete marketing zones. This segmentation allows targeted marketing content to be delivered to vehicles within specific polygons based on their GPS location, achieving marketing effectiveness through clear geographical boundaries without requiring excessive location precision beyond standard GPS capabilities.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the delivery of targeted marketing and services to vehicles based on their location and assesses driving risk levels, improving user experience and providing advertisers with effective demographic targeting while minimizing system complexity and cost.
Implementation Method 1
utilizing a Kalman filter for location stabilization
Data Source
AI summary
Software, at a networked central computer or at a wireless mobile user device, uses GPS coordinates of a mobile user device's current location to determine a polygon in which the GPS coordinates lie. Upon determining the polygon that surrounds the current location, the software can perform a task related to the polygon. Examples of tasks include: determining traffic camera images to display on the mobile user device based on the location, speed, and heading of the user device. The images can include advertisements that pertain to the general vicinity, or demographics of those typically in the vicinity, of the cameras' coverage area. Another task includes associating performance data from a vehicle, and stored in a table, for a given location with a corresponding polygon that surrounds the location; processing the data; and assigning a risk value to the polygon based on the corresponding performance data.