Invention Grant
- Patent Title: Context based vehicular traffic prediction
-
Application No.: US16421244Application Date: 2019-05-23
-
Publication No.: US11748596B2Publication Date: 2023-09-05
- Inventor: Zhi Hu Wang , Shiwan Zhao , Jing Lan Liu , Jun Zhu , Bang An , Shoichiro Watanabe
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Patterson + Sheridan, LLP
- Main IPC: G06N3/042
- IPC: G06N3/042 ; G08G1/01 ; G06N3/08

Abstract:
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.
Public/Granted literature
- US20200372322A1 CONTEXT BASED VEHICULAR TRAFFIC PREDICTION Public/Granted day:2020-11-26
Information query