Results 21 to 30 of about 154,459 (280)

A Multiscale and High-Precision LSTM-GASVR Short-Term Traffic Flow Prediction Model

Complexity, 2020
Short-term traffic flow has the characteristics of complex, changeable, strong timeliness, and so on. So the traditional prediction algorithm is difficult to meet its high real-time and accuracy requirements.
Jingmei Zhou, Hui Chang, Xin Cheng, Xiangmo Zhao   +3 more
doaj   +1 more source

Short-Term Traffic Flow Prediction Based on a K-Nearest Neighbor and Bidirectional Long Short-Term Memory Model

Applied Sciences, 2023
In the previous research on traffic flow prediction models, most of the models mainly studied the time series of traffic flow, and the spatial correlation of traffic flow was not fully considered.
Weiqing Zhuang, Yongbo Cao
doaj   +1 more source

A Bidirectional Context-Aware and Multi-Scale Fusion Hybrid Network for Short-Term Traffic Flow Prediction

Promet (Zagreb), 2022
Short-term traffic flow prediction is to automatically predict the traffic flow changes in a period of future time based on the extraction of the spatiotemporal features in the road network. For governments, timely and accurate traffic flow prediction is
Zhixing CHEN, Guizhou ZHENG
doaj   +1 more source

A Hybrid Short-Term Traffic Flow Multistep Prediction Method Based on Variational Mode Decomposition and Long Short-Term Memory Model

Discrete Dynamics in Nature and Society, 2021
Timely and accurate traffic prediction information is essential for advanced traffic management system (ATMS) and advanced traveler information system (ATIS).
Qichun Bing, Fuxin Shen, Xiufeng Chen, Weijian Zhang, Yanran Hu, Dayi Qu   +5 more
doaj   +1 more source

Short-Term Traffic Flow Prediction with Weather Conditions: Based on Deep Learning Algorithms and Data Fusion

Complexity, 2021
Short-term traffic flow prediction is an effective means for intelligent transportation system (ITS) to mitigate traffic congestion. However, traffic flow data with temporal features and periodic characteristics are vulnerable to weather effects, making ...
Yue Hou, Zhiyuan Deng, Hanke Cui
doaj   +1 more source

A Hybrid Deep Learning Framework for Long-Term Traffic Flow Prediction

IEEE Access, 2021
An accurate and reliable traffic flow prediction is of great significance, especially the long-term traffic flow prediction e.g., 24 hours, which can help the traffic decision-makers formulate the future traffic management strategy.
Yiqun Li, Songjian Chai, Zhengwei Ma, Guibin Wang   +3 more
doaj   +1 more source

Autonomous detection and anticipation of jam fronts from messages propagated by inter-vehicle communication [PDF]

, 2006
In this paper, a minimalist, completely distributed freeway traffic information system is introduced. It involves an autonomous, vehicle-based jam front detection, the information transmission via inter-vehicle communication, and the forecast of the ...
Aoki M., Bertini R. L., Briesemeister L., Davis L., Dousse O., Günter Y., Helbing D., Jin W.-L., Kerner B., Kesting A., Kim Y., Lighthill M. J., Marsden G., Muñoz J., Ott J., Rao B. S. Y., Rao B. S. Y., Schönhof M., Schönhof M., Singh J. P., Tank T., Treiber M., Treiber M., Varaiya P., Wischhof L., Wu H., Wu H., Xu Q., Yang X.   +28 more
core   +3 more sources

Short‐term traffic flow prediction approach incorporating vehicle functions from RFID‐ELP data for urban road sections

IET Intelligent Transport Systems, 2023
Short‐term traffic flow prediction is particularly important for urban traffic control and congestion management. To improve the accuracy of traffic flow prediction, a new traffic flow prediction approach is proposed from the perspective of vehicle ...
Shuai Huang, Dihua Sun, Min Zhao, Jin Chen, Rui Chen   +4 more
doaj   +1 more source

Scalable Deep Traffic Flow Neural Networks for Urban Traffic Congestion Prediction

, 2017
Tracking congestion throughout the network road is a critical component of Intelligent transportation network management systems. Understanding how the traffic flows and short-term prediction of congestion occurrence due to rush-hour or incidents can be ...
Elmasri, Ramez, Fouladgar, Mohammadhani, Ghaderi, Amir, Parchami, Mostafa   +3 more
core   +1 more source

Exploiting road traffic data for very short term load forecasting in smart grids [PDF]

, 2014
If accurate short term prediction of electricity consumption is available, the Smart Grid infrastructure can rapidly and reliably react to changing conditions.
Aparicio, J, Arzig, K, Develder, Chris, Essl, A, Mediger, M, Rosca, J   +5 more
core   +1 more source