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Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 20, 2016 - Issue 3
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Original Articles

A Comparative Study of Three Multivariate Short-Term Freeway Traffic Flow Forecasting Methods With Missing Data

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Zied Bouyahia, Hedi Haddad, Stéphane Derrode & Wojciech Pieczynski. (2023) Traffic state prediction using conditionally Gaussian observed Markov fuzzy switching model. Journal of Intelligent Transportation Systems 27:4, pages 503-522.
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Xuecai Xu, Xiaofei Jin, Daiquan Xiao, Changxi Ma & S. C. Wong. (2023) A hybrid autoregressive fractionally integrated moving average and nonlinear autoregressive neural network model for short-term traffic flow prediction. Journal of Intelligent Transportation Systems 27:1, pages 1-18.
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Zhihong Li, Han Xu, Xiuli Gao, Zinan Wang & Wangtu Xu. (2022) Fusion attention mechanism bidirectional LSTM for short-term traffic flow prediction. Journal of Intelligent Transportation Systems 0:0, pages 1-14.
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Che-Ming Chen, Chia-Ching Liang & Chih-Peng Chu. (2020) Long-term travel time prediction using gradient boosting. Journal of Intelligent Transportation Systems 24:2, pages 109-124.
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Seyed Omid Mousavizadeh Kashi & Meisam Akbarzadeh. (2019) A framework for short-term traffic flow forecasting using the combination of wavelet transformation and artificial neural networks. Journal of Intelligent Transportation Systems 23:1, pages 60-71.
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Alireza Ermagun & David Levinson. (2018) Spatiotemporal traffic forecasting: review and proposed directions. Transport Reviews 38:6, pages 786-814.
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Fangce Guo, Rajesh Krishnan & John Polak. (2017) The influence of alternative data smoothing prediction techniques on the performance of a two-stage short-term urban travel time prediction framework. Journal of Intelligent Transportation Systems 21:3, pages 214-226.
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Xueyi Gao, Jianwei Zhou, Yusheng CiLina Wu. (2023) An improved Prophet emergency traffic-flow prediction model. Proceedings of the Institution of Civil Engineers - Transport, pages 1-13.
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Weifeng Zhang, Zhe Wu, Xinfeng Zhang, Guoli Song, Yaowei Wang & Jie Chen. (2023) Robust and Hierarchical Spatial Relation Analysis for Traffic Forecasting. IEEE Transactions on Intelligent Transportation Systems 24:1, pages 201-217.
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Siroos Shahriari, S.A. Sisson & Taha Rashidi. (2023) Copula ARMA-GARCH modelling of spatially and temporally correlated time series data for transportation planning use. Transportation Research Part C: Emerging Technologies 146, pages 103969.
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Shridevi Jeevan Kamble & Manjunath R. Kounte. (2022) Dynamic Traveling Route Planning Method for Intelligent Transportation Using Incremental Learning-Based Hybrid Deep Learning Prediction Model with Fine-Tuning. Transport and Telecommunication Journal 23:4, pages 293-310.
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Xin Nie, Jialiang Peng, Yi Wu, B.B. Gupta & Ahmed A. Abd El-Latif. (2022) Real-Time Traffic Speed Estimation for Smart Cities with Spatial Temporal Data: A Gated Graph Attention Network Approach. Big Data Research 28, pages 100313.
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Binliang Li, Haiming Cai & Dan Xiao. (2022) How Snowfalls Affect the Operation of Taxi Fleets? A Case Study from Harbin, China. Journal of Advanced Transportation 2022, pages 1-14.
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Zinat Ara & Mahdi Hashemi. (2021) Traffic Flow Prediction using Long Short-Term Memory Network and Optimized Spatial Temporal Dependencies. Traffic Flow Prediction using Long Short-Term Memory Network and Optimized Spatial Temporal Dependencies.
Junying Li, Weijie Ren & Min Han. (2021) Variational auto-encoders based on the shift correction for imputation of specific missing in multivariate time series. Measurement 186, pages 110055.
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Robin Kuok Cheong Chan, Joanne Mun-Yee Lim & Rajendran Parthiban. (2021) MOD3D-PAT - A Novel Modified 3rd Degree Polynomial Approximation for Modelling Traffic Congestion in Urban Areas. MOD3D-PAT - A Novel Modified 3rd Degree Polynomial Approximation for Modelling Traffic Congestion in Urban Areas.
Robin Kuok Cheong Chan, Joanne Mun-Yee Lim & Rajendran Parthiban. (2021) A neural network approach for traffic prediction and routing with missing data imputation for intelligent transportation system. Expert Systems with Applications 171, pages 114573.
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Regis Pires Magalhaes, Francesco Lettich, Jose Antonio Macedo, Franco Maria Nardini, Raffaele Perego, Chiara Renso & Roberto Trani. (2021) Speed prediction in large and dynamic traffic sensor networks. Information Systems 98, pages 101444.
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Junyi Li, Fangce Guo, Aruna Sivakumar, Yanjie Dong & Rajesh Krishnan. (2021) Transferability improvement in short-term traffic prediction using stacked LSTM network. Transportation Research Part C: Emerging Technologies 124, pages 102977.
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Jayanthi Ganapathy & Fausto Pedro García Márquez. 2021. Proceedings of the Fifteenth International Conference on Management Science and Engineering Management. Proceedings of the Fifteenth International Conference on Management Science and Engineering Management 849 855 .
Yi-Hsin Lin, Suyu Gu, Wei-Sheng Wu, Rujun Wang & Fan Wu. (2020) Analysis and Prediction of Overloaded Extra-Heavy Vehicles for Highway Safety Using Machine Learning. Mobile Information Systems 2020, pages 1-20.
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Zhiyong Cui, Longfei Lin, Ziyuan Pu & Yinhai Wang. (2020) Graph Markov network for traffic forecasting with missing data. Transportation Research Part C: Emerging Technologies 117, pages 102671.
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Weixiang Xu & Jiamin Zhao. (2019) Research on Traffic Flow Time Series Model and Shortest Path Algorithm of Urban Traffic Based on Travel Plans. Research on Traffic Flow Time Series Model and Shortest Path Algorithm of Urban Traffic Based on Travel Plans.
Kennedy John Offor, Lubos Vaci & Lyudmila S. Mihaylova. (2019) Traffic Estimation for Large Urban Road Network with High Missing Data Ratio. Sensors 19:12, pages 2813.
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Mohammad Shareef Ghanim & Khaled Shaaban. (2019) Estimating Turning Movements at Signalized Intersections Using Artificial Neural Networks. IEEE Transactions on Intelligent Transportation Systems 20:5, pages 1828-1836.
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Juan S. Angarita-Zapata, Antonio D. Masegosa & Isaac Triguero. (2019) A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective. IEEE Access 7, pages 68185-68205.
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Silvio Nocera, Cayetano Ruiz-Alarcón-Quintero & Federico Cavallaro. (2018) Assessing carbon emissions from road transport through traffic flow estimators. Transportation Research Part C: Emerging Technologies 95, pages 125-148.
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Hong Zhang, Xiaoming Wang, Jie Cao, Minan Tang & Yirong Guo. (2018) A multivariate short-term traffic flow forecasting method based on wavelet analysis and seasonal time series. Applied Intelligence 48:10, pages 3827-3838.
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Hong Zhang, Xiaoming Wang, Jie Cao, Minan Tang & Yirong Guo. (2017) A hybrid short-term traffic flow forecasting model based on time series multifractal characteristics. Applied Intelligence 48:8, pages 2429-2440.
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Kennedy J. Offor, Matthew Hawes & Lyudmila Mihaylova. (2018) Short Term Traffic Flow Prediction with Particle Methods in the Presence of Sparse Data. Short Term Traffic Flow Prediction with Particle Methods in the Presence of Sparse Data.
Jianhua Guo, Zhao Liu, Wei Huang, Yun Wei & Jinde Cao. (2017) Short‐term traffic flow prediction using fuzzy information granulation approach under different time intervals. IET Intelligent Transport Systems 12:2, pages 143-150.
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Jiandong Zhao, Yuan Gao, Jinjin Tang, Lingxi Zhu & Jiaqi Ma. (2018) Highway Travel Time Prediction Using Sparse Tensor Completion Tactics and -Nearest Neighbor Pattern Matching Method . Journal of Advanced Transportation 2018, pages 1-16.
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Ibai Lana, Javier Del Ser, Manuel Velez & Eleni I. Vlahogianni. (2018) Road Traffic Forecasting: Recent Advances and New Challenges. IEEE Intelligent Transportation Systems Magazine 10:2, pages 93-109.
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