Big data‐driven machine learning‐enabled traffic flow prediction-Reference-Cited by-同舟云学术

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Big data‐driven machine learning‐enabled traffic flow prediction

Published:2018-07-19 Issue:9 Volume:30 Page:
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Kong Fanhui¹,Li Jian¹,Jiang Bin²^ORCID,Zhang Tianyuan³,Song Houbing³

Affiliation:

1. School of ManagementTianjin University of Technology Tianjin China

2. School of Electrical and Information EngineeringTianjin University Tianjin China

3. Department of Electrical, Computer, Software, and Systems EngineeringEmbry‐Riddle Aeronautical University Daytona Beach Florida

Funder

Key projects for the Chinese Ministry of Education

Tianjin higher education innovation team training program

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.3482

Reference45 articles.

1. Enhanced ethernet congestion management scheme for multicast traffic

2. A long short‐term memory recurrent neural network framework for network traffic matrix prediction;Azzouni A;Comput Sci,2017

3. Big data processing for prediction of traffic time based on vertical data arrangement;Jeon S;IEEE Comput Soc,2014

4. Big data‐driven based real‐time traffic flow state identification and prediction;Lu H‐P;Discret Dyn Nat Soc,2015

5. The promotion strategy of supply chain flexibility based on deep belief network

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