A Hybrid Deep Learning Approach for Traffic Flow Prediction in Highway Domain

[1]  Bin Ran,et al.  Short‐term highway traffic flow prediction based on a hybrid strategy considering temporal–spatial information , 2016 .

[2]  Jesús Martínez del Rincón,et al.  Recurrent Convolutional Network for Video-Based Person Re-identification , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[3]  Yoshua Bengio,et al.  Maxout Networks , 2013, ICML.

[4]  Danyang Li,et al.  Spatiotemporal Traffic Flow Prediction with KNN and LSTM , 2019, Journal of Advanced Transportation.

[5]  Bagus Priambodo,et al.  Traffic flow prediction model based on neighbouring roads using neural network and multiple regression , 2018 .

[6]  Dong Li,et al.  Grazing trajectory statistics and visualization platform based on cloud GIS , 2020, J. Cloud Comput..

[7]  Shi-Jinn Horng,et al.  Deep Air Quality Forecasting Using Hybrid Deep Learning Framework , 2018, IEEE Transactions on Knowledge and Data Engineering.

[8]  Erel Avineri Soft Computing Applications in Traffic and Transport Systems: A Review , 2005 .

[9]  Zhe Wang,et al.  An ensemble-learning method for potential traffic hotspots detection on heterogeneous spatio-temporal data in highway domain , 2020, Journal of Cloud Computing.

[10]  Stefano Panzieri,et al.  Urban traffic flow forecasting through statistical and neural network bagging ensemble hybrid modeling , 2015, Neurocomputing.

[11]  Shuai Zhang,et al.  A collaborative calculation on real-time stream in smart cities , 2017, Simul. Model. Pract. Theory.

[12]  Quanxin Sun,et al.  Study of railway passenger volume forecast based on grey forecasting model , 2016, 2016 International Conference on Logistics, Informatics and Service Sciences (LISS).

[13]  Wei Cheng,et al.  Short-Term Traffic Forecasting Using Self-Adjusting k-Nearest Neighbours , 2017 .

[14]  Tin Kin Ho,et al.  Comparative analysis for traffic flow forecasting models with real-life data in Beijing , 2015 .

[15]  Licia Capra,et al.  Urban Computing: Concepts, Methodologies, and Applications , 2014, TIST.

[16]  Lee D. Han,et al.  Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions , 2009, Expert Syst. Appl..

[17]  Lelitha Vanajakshi,et al.  Short-term traffic flow prediction using seasonal ARIMA model with limited input data , 2015, European Transport Research Review.

[18]  Yunpeng Wang,et al.  A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting , 2016 .

[19]  Guan Huang,et al.  traffic flow prediction model based on deep belief network and genetic algorithm , 2018 .

[20]  Thomas A. Funkhouser,et al.  Dilated Residual Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[21]  Michael J Demetsky,et al.  TRAFFIC FLOW FORECASTING: COMPARISON OF MODELING APPROACHES , 1997 .

[22]  Biao Leng,et al.  A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system , 2015, Neurocomputing.

[23]  Feifeng Zheng,et al.  Forecasting urban traffic flow by SVR with continuous ACO , 2011 .

[24]  Billy M. Williams,et al.  Comparison of parametric and nonparametric models for traffic flow forecasting , 2002 .

[25]  Shiliang Sun,et al.  A bayesian network approach to traffic flow forecasting , 2006, IEEE Transactions on Intelligent Transportation Systems.

[26]  Zhuofeng Zhao,et al.  CO-STAR: A collaborative prediction service for short-term trends on continuous spatio-temporal data , 2020, Future Gener. Comput. Syst..

[27]  Jianping Wu,et al.  Rainfall-integrated traffic speed prediction using deep learning method , 2017 .

[28]  Biswajit Basu,et al.  Multivariate Short-Term Traffic Flow Forecasting Using Time-Series Analysis , 2009, IEEE Transactions on Intelligent Transportation Systems.

[29]  Chao Zhang,et al.  Multiple sources and multiple measures based traffic flow prediction using the chaos theory and support vector regression method , 2017 .

[30]  Alessandro De Gloria,et al.  Time-Aware Multivariate Nearest Neighbor Regression Methods for Traffic Flow Prediction , 2015, IEEE Transactions on Intelligent Transportation Systems.