Traffic Condition Assessment Using Mobile Data Filtering
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Solution Overview
Problem
Current methods for assessing road traffic conditions are limited by inaccurate and unreliable data from traffic sensors, particularly due to sensor malfunctions and temporary transmission issues, which can lead to incomplete or incorrect information, especially in areas lacking comprehensive sensor networks.
Innovation Solution
A system that utilizes data samples from vehicles and other mobile sources, combined with data from road traffic sensors, to filter, condition, and infer traffic-related characteristics, including average speed and volume, while detecting and correcting errors, and estimating traffic conditions even in areas with missing data through modeling and aggregation techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traffic sensor networks are deployed to provide detailed traffic condition information, then measurement precision is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent uses mobile devices (cell phones, GPS receivers) as intermediary data collection points instead of deploying extensive fixed sensor networks. These mobile devices voluntarily provide location and traffic condition data, serving as temporary sensors that move through the network and eliminate the need for permanent infrastructure at every location.
Solution Approach 2:
The system leverages existing mobile devices that users already carry and use for navigation purposes. These devices self-report their location and observed traffic conditions without requiring additional dedicated sensing equipment, turning everyday consumer electronics into traffic monitoring tools.
2Reliability
If traffic sensors are installed on all roads to provide comprehensive coverage, then reliability of traffic data is improved, but manufacturing precision and deployment difficulty increase
Solution Approach 1:
The patent makes mobile devices perform multiple functions: navigation, communication, and traffic condition monitoring. By utilizing the existing GPS and communication capabilities of smartphones and portable devices, the system achieves comprehensive traffic data collection without requiring specialized sensor installation on each road segment.
Solution Approach 2:
Instead of expanding the sensor network horizontally across all roads with fixed infrastructure, the patent transitions to a three-dimensional approach where mobile devices move dynamically through space, collecting data from multiple locations and perspectives, thereby achieving comprehensive coverage without permanent installation at every point.
3Ease of operation
If human observations are used to provide traffic information, then ease of operation is improved, but measurement precision and coverage area deteriorate
Solution Approach 1:
The patent replaces manual human observation with automated electronic data collection using GPS receivers and mobile devices. The system automatically tracks location, calculates speed and travel time, and reports traffic conditions without requiring human drivers to manually observe and report, thereby maintaining simplicity while dramatically improving precision and detail.
Data Source
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AI summary
Techniques are described for assessing road traffic conditions in various ways based on obtained traffic-related data, such as data samples from vehicles and other mobile data sources traveling on the roads, as well as in some situations data from one or more other sources (such as physical sensors near to or embedded in the roads). The assessment of road traffic conditions based on obtained data samples may include various filtering and/or conditioning of the data samples, and various inferences and probabilistic determinations of traffic-related characteristics of interest from the data samples. In some situations, the inferences include repeatedly determining traffic flow characteristics for road segments of interest during time periods of interest, such as to determine average traffic speed, traffic volume and/or occupancy, and include weighting various data samples in various ways (e.g., based on a latency of the data samples and/or a source of the data samples).