MFOA-Bi-LSTM: An optimized bidirectional long short-term memory model for short-term traffic flow prediction
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DOI: 10.1016/j.physa.2023.129448
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- Isaac Oyeyemi Olayode & Lagouge Kwanda Tartibu & Modestus O. Okwu & Alessandro Severino, 2021. "Comparative Traffic Flow Prediction of a Heuristic ANN Model and a Hybrid ANN-PSO Model in the Traffic Flow Modelling of Vehicles at a Four-Way Signalized Road Intersection," Sustainability, MDPI, vol. 13(19), pages 1-28, September.
- Li, Shaoying & Zhuang, Caigang & Tan, Zhangzhi & Gao, Feng & Lai, Zhipeng & Wu, Zhifeng, 2021. "Inferring the trip purposes and uncovering spatio-temporal activity patterns from dockless shared bike dataset in Shenzhen, China," Journal of Transport Geography, Elsevier, vol. 91(C).
- Dong, Shaojiang & Xiao, Jiafeng & Hu, Xiaolin & Fang, Nengwei & Liu, Lanhui & Yao, Jinbao, 2023. "Deep transfer learning based on Bi-LSTM and attention for remaining useful life prediction of rolling bearing," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
- Hou, Qinzhong & Leng, Junqiang & Ma, Guosheng & Liu, Weiyi & Cheng, Yuxing, 2019. "An adaptive hybrid model for short-term urban traffic flow prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 527(C).
- Shahid, Farah & Zameer, Aneela & Muneeb, Muhammad, 2020. "Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
- Li, Shaoying & Lyu, Dijiang & Huang, Guanping & Zhang, Xiaohu & Gao, Feng & Chen, Yuting & Liu, Xiaoping, 2020. "Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China," Journal of Transport Geography, Elsevier, vol. 82(C).
- Redhu, Poonam & Gupta, Arvind Kumar, 2015. "Jamming transitions and the effect of interruption probability in a lattice traffic flow model with passing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 249-260.
- Yao Mao & Guojin Qin & Pingan Ni & Qian Liu, 2022. "Analysis of road traffic speed in Kunming plateau mountains: a fusion PSO-LSTM algorithm," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 26(1), pages 87-107, January.
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- Shubham Mehta & Raveena Dangi & Vikash Siwach & Poonam Redhu, 2025. "Effect of weather’s visibility on traffic dynamics: a novel lattice hydrodynamic model for curved roads with passing," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 98(1), pages 1-9, January.
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Keywords
Intelligent transportation system; Traffic flow prediction; Fireflies optimization algorithm; Bidirectional long short term memory neural network;All these keywords.
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