CONTEXT BASED VEHICULAR TRAFFIC PREDICTION

Patent №

US 11,748,596

Granted

2023-09-05

Filed 2019

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16421244

This disclosure provides embodiments for context based vehicular traffic prediction. A trained neural network modeling a relationship between historical traffic data and associated historical contextual data for a roadway link is obtained. Expected contextual data for a future time period for the roadway link is acquired. Predicted traffic data for the future time period for the roadway link is generated with the trained neural network based on the expected contextual data.

Machine learningNatural languageKnowledge representationPlanningAI hardwareG06N 3/042G06N 3/0442G06N 3/0455G06N 3/08G06N 3/09G08G 1/0112G08G 1/0116G08G 1/012+2 more

AI classification

Machine learning1.00
Planning1.00
Natural language1.00
AI hardware0.98
Knowledge representation0.54
Vision0.26
Evolutionary computation0.07
Speech0.01

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 492840597

Assignors

WANG, ZHI HU, ZHAO, SHIWAN, LIU, JING LAN, AN, BANG, WATANABE, SHOICHIRO

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

From the same owner

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