TrafficBERT: Pre-trained model with large-scale data for long-range traffic flow forecasting
Traffic flow prediction has various applications such as in traffic systems and autonomous
driving. Road conditions have become increasingly complex, and this, in turn, has increased …
driving. Road conditions have become increasingly complex, and this, in turn, has increased …
[PDF][PDF] 考虑时空相关性的网络交通流短期预测
邵春福， 薛松， 董春娇， 王晟由， 庄焱 - 北京交通大学学报, 2021 - jdxb.bjtu.edu.cn
实时, 准确的交通流短期预测是交通诱导, 管理的前提. 为了提高预测精度, 结合交通流数据中的
历史时间相关性与网络空间断面相关性, 构建了一种基于皮尔森相关系数法 …
历史时间相关性与网络空间断面相关性, 构建了一种基于皮尔森相关系数法 …
A Traffic Flow Forecasting Method Regarding Traffic Network as a Digraph
Z Chen, J Xu, Y Lin, B Feng, Z Huang - International Journal of …, 2021 - World Scientific
Traffic congestion has become a major problem restricting the development of major cities.
ITS (Intelligent Transportation System) can record the state of traffic and predict the future …
ITS (Intelligent Transportation System) can record the state of traffic and predict the future …
An efficient hardware design for a low-latency traffic flow prediction system using an online neural network
YA Hanafy, M Mashaly, MA Abd El Ghany - Electronics, 2021 - mdpi.com
Neural networks are computing systems inspired by the biological neural networks in human
brains. They are trained in a batch learning mode; hence, the whole training data should be …
brains. They are trained in a batch learning mode; hence, the whole training data should be …