Non-parametric models with optimized training strategy for vehicles traffic flow prediction

Computer Networks ◽

10.1016/j.comnet.2020.107791 ◽

2021 ◽

pp. 107791

Author(s):

Jiahao Wang ◽

Azzedine Boukerche

Keyword(s):

Traffic Flow ◽

Parametric Models ◽

Training Strategy ◽

Traffic Flow Prediction ◽

Flow Prediction ◽

Non Parametric

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Multivariate short-term traffic flow prediction based on real-time expressway toll plaza data using non-parametric techniques

International Journal of Vehicle Information and Communication Systems ◽

10.1504/ijvics.2021.10039425 ◽

2021 ◽

Vol 1 (1) ◽

pp. 1

Author(s):

Mukesh Kumar ◽

Annu Mor

Keyword(s):

Real Time ◽

Traffic Flow ◽

Short Term ◽

Traffic Flow Prediction ◽

Flow Prediction ◽

Toll Plaza ◽

Non Parametric

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Accurate Traffic Flow Prediction in Heterogeneous Vehicular Networks in an Intelligent Transport System Using a Supervised Non-Parametric Classifier

Sensors ◽

10.3390/s18061696 ◽

2018 ◽

Vol 18 (6) ◽

pp. 1696 ◽

Cited By ~ 10

Author(s):

Hesham El-Sayed ◽

Sharmi Sankar ◽

Yousef-Awwad Daraghmi ◽

Prayag Tiwari ◽

Ekarat Rattagan ◽

...

Keyword(s):

Traffic Flow ◽

Transport System ◽

Vehicular Networks ◽

Intelligent Transport System ◽

Intelligent Transport ◽

Traffic Flow Prediction ◽

Flow Prediction ◽

Parametric Classifier ◽

Non Parametric

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Deep Learning with Non-parametric Regression Model for Traffic Flow Prediction

2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech) ◽

10.1109/dasc/picom/datacom/cyberscitec.2018.00120 ◽

2018 ◽

Cited By ~ 8

Author(s):

Muhammad Arif ◽

Guojun Wang ◽

Shuhong Chen

Keyword(s):

Deep Learning ◽

Regression Model ◽

Traffic Flow ◽

Parametric Regression ◽

Traffic Flow Prediction ◽

Flow Prediction ◽

Non Parametric

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Short-Term Traffic Flow Prediction Based on Multi-Model by Stacking Ensemble Learning

CICTP 2020 ◽

10.1061/9780784483053.008 ◽

2020 ◽

Author(s):

Yong Chen

Keyword(s):

Traffic Flow ◽

Ensemble Learning ◽

Short Term ◽

Traffic Flow Prediction ◽

Flow Prediction

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Short Term Diverging Traffic Flow Prediction based on ImF-VOMM Method

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8483216 ◽

2018 ◽

Cited By ~ 1

Author(s):

Xiangxiang Yu ◽

Dewei Li ◽

Yugeng Xi

Keyword(s):

Traffic Flow ◽

Short Term ◽

Traffic Flow Prediction ◽

Flow Prediction

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A method of city traffic flow prediction based on a grey neural network

Artificial Intelligence and Industrial Application ◽

10.2495/aiia140111 ◽

2015 ◽

Author(s):

X. W. Han ◽

Y. Zhao ◽

B. Y. Xin ◽

D. Wang

Keyword(s):

Neural Network ◽

Traffic Flow ◽

Traffic Flow Prediction ◽

Flow Prediction

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Short-term Traffic Flow Prediction Based on Multi-Auxiliary Information

2020 the 4th International Conference on Big Data Research (ICBDR'20) ◽

10.1145/3445945.3445951 ◽

2020 ◽

Author(s):

Kai Zhang ◽

Buliao Jia ◽

Yuhan Dong

Keyword(s):

Traffic Flow ◽

Auxiliary Information ◽

Short Term ◽

Traffic Flow Prediction ◽

Flow Prediction

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A review of deep learning models for traffic flow prediction in Autonomous Vehicles

2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN) ◽

10.1109/icacccn51052.2020.9362972 ◽

2020 ◽

Author(s):

Avinash Kumar ◽

Priya Saha

Keyword(s):

Deep Learning ◽

Traffic Flow ◽

Autonomous Vehicles ◽

Learning Models ◽

Traffic Flow Prediction ◽

Flow Prediction

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SATP-GAN: self-attention based generative adversarial network for traffic flow prediction

Transportmetrica B Transport Dynamics ◽

10.1080/21680566.2021.1916646 ◽

2021 ◽

Vol 9 (1) ◽

pp. 552-568

Author(s):

Liang Zhang ◽

Jianqing Wu ◽

Jun Shen ◽

Ming Chen ◽

Rui Wang ◽

...

Keyword(s):

Traffic Flow ◽

Generative Adversarial Network ◽

Traffic Flow Prediction ◽

Adversarial Network ◽

Flow Prediction

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Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction Based on Potential Energy Fields

2020 IEEE International Conference on Data Mining (ICDM) ◽

10.1109/icdm50108.2020.00128 ◽

2020 ◽

Author(s):

Jiahao Ji ◽

Jingyuan Wang ◽

Zhe Jiang ◽

Jingtian Ma ◽

Hu Zhang

Keyword(s):

Deep Learning ◽

Potential Energy ◽

Traffic Flow ◽

Learning Model ◽

Traffic Flow Prediction ◽

Flow Prediction ◽

Deep Learning Model

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