Cellular Traffic Service Using Signal Analysis
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Solution Overview
Problem
Existing methods for obtaining live traffic information are expensive and require specialized equipment and infrastructure, making it impractical to provide real-time data for all roads in a geographic region.
Innovation Solution
A cellular-based live traffic service that uses existing cellular system infrastructures to determine course resolution localization and performs statistical analysis to infer finer resolution traffic information, eliminating the need for GPS-enabled devices and additional hardware or software.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized equipment and infrastructure (traffic cameras, sensors, GPS-enabled devices) are deployed to obtain live traffic information, then measurement precision and reliability of traffic data are improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent repurposes existing cellular network infrastructure for multiple functions: original communication purposes and traffic monitoring. Cellular base stations and existing mobile devices serve dual roles, eliminating the need for dedicated traffic monitoring equipment while providing accurate traffic data through statistical analysis of cellular signal patterns.
Solution Approach 2:
The system utilizes traffic-generated cellular communication signals themselves to monitor traffic conditions. Mobile devices naturally emit cellular signals during normal operation, and these self-generated signals are captured and analyzed by the cellular network infrastructure to infer traffic flow, speed, and congestion without requiring additional sensors or equipment on the devices.
2Loss of information
If transportation departments build and maintain networked traffic cameras and sensors, then live traffic information is obtained, but loss of substance (resources) and cost increase due to infrastructure maintenance
Solution Approach 1:
Instead of deploying physical traffic cameras and sensors, the system creates information copies from existing cellular communication signals. The cellular network infrastructure, already in place for communication, is used to capture and analyze signal patterns that replicate traffic information that would otherwise require dedicated monitoring equipment.
Solution Approach 2:
Existing cellular network infrastructure performs dual functions: communication and traffic monitoring. This eliminates the need for separate dedicated infrastructure, reducing maintenance resources while maintaining continuous traffic data availability through the same network that already serves the region.
3Measurement precision
If a fleet of specially equipped vehicles is deployed to collect traffic data, then measurement precision is improved, but device complexity and cost increase due to equipment and fleet maintenance
Solution Approach 1:
The system transforms ordinary mobile devices into traffic monitoring sensors through software alone, without requiring specialized vehicle equipment. The devices' existing cellular communication capabilities are leveraged to provide traffic data, eliminating the need for equipped vehicles while maintaining measurement precision through statistical analysis of aggregated signal data.
Solution Approach 2:
The patent creates virtual traffic monitoring capabilities through software analysis of cellular signals, copying the function of physical traffic sensors without requiring the physical infrastructure. This software-based approach replaces expensive equipped vehicle fleets with analysis of naturally occurring cellular communication patterns.
4Measurement precision
If GPS-enabled devices and additional hardware are added to obtain fine-grained positioning, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces GPS satellite-based positioning hardware with cellular network-based positioning. Instead of using GPS receivers and satellite signals, the system infers position from cellular base station signal patterns, triangle positioning data, and movement patterns, achieving sufficient accuracy for traffic monitoring without additional positioning hardware.
Solution Approach 2:
The system creates virtual positioning information by analyzing cellular signal patterns and movement data, copying the positioning function that would otherwise require GPS hardware. This software-based positioning approach provides fine-grained location data without adding physical GPS components to devices.
Data Source
AI summary
A cellular-based live traffic service that does not require pre-deployment of infrastructure or GPS-enabled devices uses signals provided by cellular devices to determine course resolution localization and tracking information of the cellular devices. Specialized statistical analysis is performed on the course resolution data to infer the fine resolution positions of the cellular devices. In an example embodiment, the localization and tracking information is provided on a map, or the like, to show relative position and/or trajectory of cellular devices.