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Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 12, 2008 - Issue 3
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Original Articles

Short-Term Traffic Flow Forecasting Using Fuzzy Logic System Methods

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Pages 102-112 | Published online: 07 Aug 2008

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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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Zhuangbin Shi, Ning Zhang, Paul M. Schonfeld & Jian Zhang. (2020) Short-term metro passenger flow forecasting using ensemble-chaos support vector regression. Transportmetrica A: Transport Science 16:2, pages 194-212.
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Arezu Moussavi-Khalkhali & Mo Jamshidi. (2019) Feature Fusion Models for Deep Autoencoders: Application to Traffic Flow Prediction. Applied Artificial Intelligence 33:13, pages 1179-1198.
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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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Chao Wang & Zhirui Ye. (2016) Traffic flow forecasting based on a hybrid model. Journal of Intelligent Transportation Systems 20:5, pages 428-437.
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Haizhong Wang, Lu Liu, Shangjia Dong, Zhen Qian & Heng Wei. (2016) A novel work zone short-term vehicle-type specific traffic speed prediction model through the hybrid EMD–ARIMA framework. Transportmetrica B: Transport Dynamics 4:3, pages 159-186.
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Yanru Zhang & Yunlong Zhang. (2016) A Comparative Study of Three Multivariate Short-Term Freeway Traffic Flow Forecasting Methods With Missing Data. Journal of Intelligent Transportation Systems 20:3, pages 205-218.
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Chunjiao Dong, Zhihua Xiong, Chunfu Shao & Hui Zhang. (2015) A spatial–temporal-based state space approach for freeway network traffic flow modelling and prediction. Transportmetrica A: Transport Science 11:7, pages 547-560.
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Jie Fang & Jing Jin. (2015) Intelligent Algorithms for Reducing Short-Term Traffic State Prediction Error in Active Traffic Management. Journal of Intelligent Transportation Systems 19:3, pages 304-315.
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Francisco C. Pereira, Filipe Rodrigues & Moshe Ben-Akiva. (2015) Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios. Journal of Intelligent Transportation Systems 19:3, pages 273-288.
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Yu-Chiun Chiou, Lawrence W. Lan & Chun-Ming Tseng. (2014) A Novel Method to Predict Traffic Features Based on Rolling Self-Structured Traffic Patterns. Journal of Intelligent Transportation Systems 18:4, pages 352-366.
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Chung-Cheng Lu & Xuesong Zhou. (2014) Short-Term Highway Traffic State Prediction Using Structural State Space Models. Journal of Intelligent Transportation Systems 18:3, pages 309-322.
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Kai Li, Weihua Bai, Shaowei Huang, Guanru Tan, Teng Zhou & Keqin Li. (2023) Lag‐related noise shrinkage stacked LSTM network for short‐term traffic flow forecasting. IET Intelligent Transport Systems.
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Xiantong Wang. (2023) Traffic Volume Forecast of Parking Lot Entrance and Exit Roads. Academic Journal of Science and Technology 7:3, pages 174-177.
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Wenguang Chai, Yuexin Zheng, Lin Tian, Jing Qin & Teng Zhou. (2023) GA-KELM: Genetic-Algorithm-Improved Kernel Extreme Learning Machine for Traffic Flow Forecasting. Mathematics 11:16, pages 3574.
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Diana P. Moreno-Palacio, Carlos A. Gonzalez-Calderon, Héctor López-Ospina, Jhan Kevin Gil-Marin & John Jairo Posada-Henao. (2023) Freight tour synthesis based on entropy maximization with fuzzy logic constraints. Transportation.
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Manuel Walch, Matthias NeubauerWolfgang Schildorfer. (2023) Floating Car Data–Based Short-Term Travel Time Forecasting with Deep Recurrent Neural Networks Incorporating Weather Data. Journal of Transportation Engineering, Part A: Systems 149:6.
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Wenbo Fan, Zhenkun Tang, Pengyao Ye, Feng Xiao & Jun Zhang. (2022) Deep Learning-Based Dynamic Traffic Assignment With Incomplete Origin–Destination Data. Transportation Research Record: Journal of the Transportation Research Board 2677:3, pages 1340-1356.
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Xin Li, Linfeng Li, Boyu Huang, Haowen Dou , Xi Yang & Teng Zhou. (2022) Meta-Extreme Learning Machine for Short-Term Traffic Flow Forecasting. Applied Sciences 12:24, pages 12670.
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Diana P. Moreno-Palacio, Carlos A. Gonzalez-Calderon, John Jairo Posada-Henao, Hector Lopez-Ospina & Jhan Kevin Gil-Marin. (2022) Entropy-Based Transit Tour Synthesis Using Fuzzy Logic. Sustainability 14:21, pages 14564.
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Yangyang Zhao, Zhenliang Ma, Xinguo Jiang & Haris N. Koutsopoulos. (2021) Short-Term Metro Ridership Prediction During Unplanned Events. Transportation Research Record: Journal of the Transportation Research Board 2676:2, pages 132-147.
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Jin Liu, Naiqi Wu, Yan Qiao & Zhiwu Li. (2022) Short-Term Traffic Flow Forecasting Using Ensemble Approach Based on Deep Belief Networks. IEEE Transactions on Intelligent Transportation Systems 23:1, pages 404-417.
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Zhihan Cui, Boyu Huang, Haowen Dou, Guanru Tan, Shiqiang Zheng & Teng Zhou. (2021) GSA‐ELM: A hybrid learning model for short‐term traffic flow forecasting. IET Intelligent Transport Systems 16:1, pages 41-52.
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Pramesh Kumar & Alireza Khani. (2021) Evaluating Special Event Transit Demand: A Robust Principal Component Analysis Approach. IEEE Transactions on Intelligent Transportation Systems 22:12, pages 7370-7382.
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Vladimir Shepelev, Alexandr Glushkov, Tatyana Bedych, Tatyana Gluchshenko & Zlata Almetova. (2021) Predicting the Traffic Capacity of an Intersection Using Fuzzy Logic and Computer Vision. Mathematics 9:20, pages 2631.
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Renátó Besenczi, Norbert Bátfai, Péter Jeszenszky, Roland Major, Fanny Monori & Márton Ispány. (2021) Large-scale simulation of traffic flow using Markov model. PLOS ONE 16:2, pages e0246062.
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Ibai Laña, Javier J. Sanchez-Medina, Eleni I. Vlahogianni & Javier Del Ser. (2021) From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability. Sensors 21:4, pages 1121.
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Mahmuda Akhtar & Sara Moridpour. (2021) A Review of Traffic Congestion Prediction Using Artificial Intelligence. Journal of Advanced Transportation 2021, pages 1-18.
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Вадим Іванович Слюсар, Владислав Віталійович Сотник, Артем Валерійович Купчин & Владислав Григорович Шостак. (2020) Проривні технології в оборонній сфері України. Озброєння та військова техніка 28:4, pages 13-23.
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Lingxiao Zhou, Shuaichao Zhang, Jingru Yu & Xiqun Chen. (2020) Spatial–Temporal Deep Tensor Neural Networks for Large-Scale Urban Network Speed Prediction. IEEE Transactions on Intelligent Transportation Systems 21:9, pages 3718-3729.
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Wenhao LiYanjie JiTao Wang. (2020) Adaptive Real-Time Prediction Model for Short-Term Traffic Flow Uncertainty. Journal of Transportation Engineering, Part A: Systems 146:8.
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Enhui Chen, Zhirui Ye, Chao Wang & Mingtao Xu. (2020) Subway Passenger Flow Prediction for Special Events Using Smart Card Data. IEEE Transactions on Intelligent Transportation Systems 21:3, pages 1109-1120.
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Yuanxun Li & Xiushan Jiang. (2020) Airport Passenger Throughput Forecast Based on PSO-SVR Model. IOP Conference Series: Materials Science and Engineering 780:6, pages 062006.
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Javad Sharifi & Nafiseh Saeednia. (2019) Neuro-Fuzzy Modeling of Data Singular Spectrum Decomposition and Traffic Flow Prediction. Iranian Journal of Science and Technology, Transactions of Electrical Engineering 44:1, pages 519-535.
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Dongfang Ma, Bowen Sheng, Xiaolong Ma & Sheng Jin. (2019) Fuzzy hybrid framework with dynamic weights for short‐term traffic flow prediction by mining spatio‐temporal correlations. IET Intelligent Transport Systems 14:2, pages 73-81.
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Yixuan Ma, Zhenji Zhang & Alexander Ihler. (2020) Multi-Lane Short-Term Traffic Forecasting With Convolutional LSTM Network. IEEE Access 8, pages 34629-34643.
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Negar Sadeghi Gargari, Hassan Akbari & Roozbeh Panahi. (2019) Forecasting Short-term Container Vessel Traffic Volume Using Hybrid ARIMA-NN Model. International Journal of coastal and offshore engineering 3:3, pages 47-52.
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Lingru Cai, Qian Chen, Weihong Cai, Xuemiao Xu, Teng Zhou & Jing Qin. (2019) SVRGSA: a hybrid learning based model for short‐term traffic flow forecasting. IET Intelligent Transport Systems 13:9, pages 1348-1355.
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Teng Zhou, Dazhi Jiang, Zhizhe Lin, Guoqiang Han, Xuemiao Xu & Jing Qin. (2019) Hybrid dual Kalman filtering model for short‐term traffic flow forecasting. IET Intelligent Transport Systems 13:6, pages 1023-1032.
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Yiming Xing, Xiaojuan Ban, Xu Liu & Qing Shen. (2019) Large-Scale Traffic Congestion Prediction Based on the Symmetric Extreme Learning Machine Cluster Fast Learning Method. Symmetry 11:6, pages 730.
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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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Linchao Li, Lingqiao Qin, Xu Qu, Jian Zhang, Yonggang Wang & Bin Ran. (2019) Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm. Knowledge-Based Systems 172, pages 1-14.
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D. V. Kapskiy, D. V. Navoy & P. A. Pegin. (2019) Development of Model for Traffic Flows on Urban Street and Road Network. Science & Technique 18:1, pages 47-54.
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Bharti Sharma, Sachin Kumar, Prayag Tiwari, Pranay Yadav & Marina I. Nezhurina. (2018) ANN based short-term traffic flow forecasting in undivided two lane highway. Journal of Big Data 5:1.
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Xianglong Luo, Liyao Niu & Shengrui Zhang. (2018) An Algorithm for Traffic Flow Prediction Based on Improved SARIMA and GA. KSCE Journal of Civil Engineering 22:10, pages 4107-4115.
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Ximan Ling, Zhiren Huang, Chengcheng Wang, Fan Zhang & Pu Wang. (2018) Predicting subway passenger flows under different traffic conditions. PLOS ONE 13:8, pages e0202707.
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Wei Nai, Lu Liu, Shaoyin Wang & Decun Dong. (2017) An EMD–SARIMA-Based Modeling Approach for Air Traffic Forecasting. Algorithms 10:4, pages 139.
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A. N. Klimovich & V. N. Shuts. (2017) SYSTEM ANALYSIS OF MAJOR TRENDS IN DEVELOPMENT OF ADAPTIVE TRAFFIC FLOW MANAGEMENT METHODS. «System analysis and applied information science»:3, pages 28-32.
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Teng Zhou, Guoqiang Han, Xuemiao Xu, Zhizhe Lin, Chu Han, Yuchang Huang & Jing Qin. (2017) δ -agree AdaBoost stacked autoencoder for short-term traffic flow forecasting. Neurocomputing 247, pages 31-38.
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Mihails Savrasovs. (2017) Traffic flow short-term forecasting system design and prototyping: Case study of Riga city. Traffic flow short-term forecasting system design and prototyping: Case study of Riga city.
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