Estimating Vehicle Traffic Density Using Wireless Device Registration Data

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current methods for measuring traffic congestion are often expensive, inexact, or both, and struggle to differentiate between wireless communication devices (WCDs) associated with vehicles in motion on roads and those that are not, making it difficult to accurately estimate vehicular traffic characteristics.

Innovation Solution

A system that queries registration data from WCDs within specific wireless coverage areas to determine their geographic location and velocity, comparing these to a predefined road definition to identify WCDs likely in motion, thereby estimating vehicle density and velocity, and using this information to improve traffic control systems.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traffic helicopters and planes are used to measure traffic congestion, then traffic measurement coverage is improved, but system cost increases significantly

Engineering Contradiction:
Improvetraffic measurement coverageVSAvoidsystem cost
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent uses wireless communication devices (WCDs) as proxies to estimate vehicle traffic characteristics. Instead of directly measuring vehicles with expensive equipment like helicopters or planes, the system collects registration data from WCDs that vehicles carry, creating a virtual copy of vehicle movement patterns. This approach provides comprehensive traffic coverage at a fraction of the cost of aerial surveillance systems.

Inventive Principle:
Principle #26Copying

2Measurement precision

If traffic cameras are deployed to monitor traffic congestion, then real-time traffic monitoring is improved, but system cost and complexity increase

Engineering Contradiction:
Improvereal-time traffic monitoringVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces wireless network registration data as an intermediary to infer vehicle traffic characteristics. Rather than directly observing vehicles with cameras, the system uses WCD registration events (which occur when devices connect to wireless networks along road segments) as a mediator to indirectly measure vehicle presence, density, and movement patterns. This intermediary approach simplifies the system architecture while maintaining real-time monitoring capability.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Quantity of substance

If WCD registration data is used to estimate traffic congestion, then measurement cost is reduced, but ability to differentiate moving vehicles from stationary devices deteriorates

Engineering Contradiction:
Improvemeasurement costVSAvoidvehicle motion differentiation
Core Design Contradiction:
Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent applies dynamic filtering criteria to WCD registration data to distinguish moving vehicles from stationary devices. The system analyzes temporal patterns in registration events, such as the frequency and timing of registrations across different wireless coverage areas, to identify devices that are likely in motion versus those that are stationary. This dynamic approach allows low-cost WCD data to provide reliable vehicle traffic measurements by filtering out stationary device signatures.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS8064925B1Method and system for determining vehicle traffic characteristics from wireless network registrations
Publication Date: 2011.11.22 SPRINT SPECTRUM LLC
  • US8064925B1 patent drawing
  • US8064925B1 patent drawing
  • US8064925B1 patent drawing

AI summary

Methods and systems for determining the density and velocity of wireless communication devices (WCDs) on a road are provided. A preferred embodiment involves determining a set of WCDs that are being served by a plurality of wireless coverage areas that intersect the road. This set of WCDs is narrowed to include only those WCDs that are (1) presumed to be in motion and (2) within a predefined geographic definition of the road. The density and aggregate velocity of the resulting WCDs is determined. From these determinations, the traffic density and aggregate traffic velocity of vehicles on the road can be estimated and an associated output can be provided.