Short-term traffic flow prediction using a self-adaptive two-dimensional forecasting method-Reference-Cited by-同舟云学术

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Short-term traffic flow prediction using a self-adaptive two-dimensional forecasting method

Published:2017-08 Issue:8 Volume:9 Page:168781401771900
ISSN:1687-8140
Container-title:Advances in Mechanical Engineering
language:en
Short-container-title:Advances in Mechanical Engineering

Author:

Ma Minghui¹,Liang Shidong²,Guo Hui¹,Yang Jufen³

Affiliation:

1. Automobile Engineering College, Shanghai University of Engineering Science, Shanghai, China

2. Business School, University of Shanghai for Science and Technology, Shanghai, China

3. Urban rail transit college, Shanghai University of Engineering Science, Shanghai, China

Publisher

SAGE Publications

Subject

Mechanical Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/1687814017719002

Reference34 articles.

1. Spatio-Temporal Short-Term Urban Traffic Volume Forecasting Using Genetically Optimized Modular Networks

2. Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models

3. A Robust and Efficient Method for Fusing Heterogeneous Data from Traffic Sensors on Freeways

4. Wavelet-Based Denoising for Traffic Volume Time Series Forecasting with Self-Organizing Neural Networks

5. Bayesian predictive travel time methodology for advanced traveller information system

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4. A Hybrid Method for Traffic State Classification Using K-Medoids Clustering and Self-Tuning Spectral Clustering;Sustainability;2022-09-05

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