RECTIFYING ERRONEOUS ROAD TRAFFIC SENSOR DATA

Patent №

US 7,706,965

Granted

2010-04-27

Filed 2006

Owner

INRIX, INC.

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11540342

Techniques are described for assessing road traffic conditions in various ways based on obtained traffic-related data, such as data samples from road traffic sensors (e.g., physical sensors that are near or embedded in the roads) and/or from vehicles and other mobile data sources traveling on the roads. The assessment of road traffic conditions based on obtained sensor data readings and/or other 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. Assessing obtained data may further include determining traffic conditions (e.g., traffic flow and/or average traffic speed) for various portions of a road network in a particular geographic area, based at least in part on obtained data samples.

AI classification

Planning1.00
Machine learning0.97
Knowledge representation0.96
Natural language0.77
AI hardware0.62
Vision0.43
Evolutionary computation0.02
Speech0.00

Ownership

INRIX, INC.

assignment · 183710612

Assignors

DOWNS, OLIVER B., BARKER, ALEC, CHAPMAN, CRAIG H.

On an employer assignment, the assignors are typically the inventors.

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