In the last few years, there has been an exponential increase in the usage of the
autonomous vehicles across the globe. It is due to an exponential increase in the popularity …

Traffic flow prediction is an essential part of the intelligent transport system. This is the
accurate estimation of traffic flow in a given region at a particular interval of time in the future …

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 …

Traffic congestion is a major problem in developing and developed countries vehicle traffic
management systems. Traffic control system works based on the idea of removing …

Problem definition: The intelligent transportation system (ITS) plays a vital role in the
construction of smart cities. For the past few years, traffic flow prediction has been a hot …

Intelligent Transportation Systems (ITS) operate within a highly intricate and dynamic
environment characterized by complex spatial and temporal dynamics at various scales …

Deep Learning Methods in Short-Term Traffic Prediction: A Survey Page 1 139 Information
Technology and Control 2022/1/51 Deep Learning Methods in Short-Term Traffic Prediction …

Both road users and administrators are keen to know the traffic volume at the arbitrary point
on the road network. In China, charging systems have been fully established in closed large …

Traffic flow forecasting is critical in transportation research. However, the excessive
nonlinearity and complexity of spatial and temporal correlations in traffic flow critically restrict …

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 …