A learning-based multimodel integrated framework for dynamic traffic flow forecasting

T Zhou, G Han, X Xu, C Han, Y Huang, J Qin - Neural Processing Letters, 2019 - Springer
Accurate and timely traffic flow forecasting is essential for many intelligent transportation
systems. However, it is quite challenging to develop an efficient and robust forecasting …
被引用次数：61 相关文章

A Learning-Based Multimodel Integrated Framework for Dynamic Traffic Flow Forecasting

T Zhou, G Han, X Xu, C Han, Y Huang, J Qin - Neural Processing Letters, 2019 - dl.acm.org
Accurate and timely traffic flow forecasting is essential for many intelligent transportation
systems. However, it is quite challenging to develop an efficient and robust forecasting …

A Learning-Based Multimodel Integrated Framework for Dynamic Traffic Flow Forecasting

T Zhou, G Han, X Xu, C Han… - Neural Processing …, 2019 - search.proquest.com
Accurate and timely traffic flow forecasting is essential for many intelligent transportation
systems. However, it is quite challenging to develop an efficient and robust forecasting …
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[PDF][PDF] A Learning-Based Multimodel Integrated Framework for Dynamic Traffic Flow Forecasting

T Zhou, G Han, X Xu, C Han, Y Huang, J Qin - 2018 - chuhan89.com
Accurate and timely traffic flow forecasting is essential for many intelligent transportation
systems. However, it is quite challenging to develop an efficient and robust forecasting …

A Learning-Based Multimodel Integrated Framework for Dynamic Traffic Flow Forecasting

T Zhou, G Han, X Xu, C Han… - Neural Processing …, 2019 - research.polyu.edu.hk
Accurate and timely traffic flow forecasting is essential for many intelligent transportation
systems. However, it is quite challenging to develop an efficient and robust forecasting …