Results 241 to 250 of about 11,119,065 (317)

A Multitask Learning framework for E-commerce time series analytics: Operational risk, demand forecasting, and anomaly detection. [PDF]

PLoS One
He J, An X.
europepmc   +1 more source

Spatiotemporal-decoupled interactive learning for traffic flow prediction. [PDF]

Sci Rep
Chen L, Wu Q.
europepmc   +1 more source

Multi-scale spatial-temporal transformer for traffic flow prediction. [PDF]

Sci Rep
Qiu Z, Wu H, Teng G, Wu H, Huang Z, Zhao M.   +5 more
europepmc   +1 more source

Real-time AI-driven trend analytics for smart city digital services using streaming data. [PDF]

Front Big Data
Kalpeyeva Z, Razaque A, Uskenbayeva R, Beishenaly A, Elle V, Kassymova A.   +5 more
europepmc   +1 more source

Physics-Aware and Intention-Enhanced Trajectory Prediction for Non-Towered Terminal Airspace. [PDF]

Sensors (Basel)
Ji L, Yang F.
europepmc   +1 more source

Memory-Augmented Spatio-Temporal Transformer for Robust Traffic Flow Forecasting. [PDF]

Biomimetics (Basel)
Hu P, Wu C, Wang C, Yang X, Li Z, Chen T, Zhou S.   +6 more
europepmc   +1 more source

An Innovative Approach for the Short-term Traffic Flow Prediction

Journal of Systems Science and Systems Engineering, 2021
Traffic flow prediction plays an important role in intelligent transportation applications, such as traffic control, navigation, path planning, etc., which are closely related to people’s daily life. In the last twenty years, many traffic flow prediction approaches have been proposed.
Xing Su, Minghui Fan, Minjie Zhang, Yi Liang, Limin Guo   +4 more
core   +3 more sources

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Short-term traffic flow prediction with Conv-LSTM

2017 9th International Conference on Wireless Communications and Signal Processing (WCSP), 2017
The accurate short-term traffic flow prediction can provide timely and accurate traffic condition information which can help one to make travel decision and mitigate the traffic jam. Deep learning (DL) provides a new paradigm for the analysis of big data generated by the urban daily traffic.
Yi-Peng Liu, Hai-Feng Zheng, Xin-Xin Feng, Zhonghui Chen   +3 more
semanticscholar   +3 more sources

Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning

Transportmetrica A: Transport Science, 2019
Accurate short-term traffic flow forecasting facilitates active traffic control and trip planning. Most existing traffic flow models fail to make full use of the temporal and spatial features of traffic data. This study proposes a short-term traffic flow
Weibin Zhang, Yinhai Wang, Feng Shu
exaly   +2 more sources