Daily long-term traffic flow forecasting based on a deep neural network-Reference-Cited by-同舟云学术

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Daily long-term traffic flow forecasting based on a deep neural network

Published:2019-05 Issue: Volume:121 Page:304-312
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Qu Licheng,Li Wei,Li Wenjing,Ma Dongfang^ORCID,Wang Yinhai

Funder

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation

Fundamental Research Funds for the Central Universities

Zhejiang Province Key Research and Development Plan

National key research and development program

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference42 articles.

1. Short-term freeway traffic parameter prediction: Application of grey system theory models;Bezuglov;Expert Systems with Applications,2016

2. Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions;Castro-Neto;Expert Systems with Applications,2009

3. An approach to dynamic classification of traffic flow patterns;Celikoglu;Computer-Aided Civil and Infrastructure Engineering,2013

4. Short-term traffic flow prediction with regime switching models;Cetin;Transportation Research Record: Journal of the Transportation Research Board,2006

5. The retrieval of intra-day trend and its influence on traffic prediction;Chen;Transportation Research Part C: Emerging technologies,2012

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