In the last decades, the Italian road transport system has been characterized by severe and
consistent traffic congestion and in particular Rome is one of the Italian cities most affected …

Short-term traffic speed prediction, including level and interval prediction, is a key
component of proactive traffic control in the intelligent transportation systems (ITS). In …

针对交通流时间序列, 在深度学习的理论框架下, 构建基于LSTM-RNN 的城市快速路短时交通流
预测模型. 根据交通流的时空相关性完成时间序列的重构, 依靠模型训练对时空关联特性进行 …

Short-term traffic state prediction has become an integral component of an advanced
traveler information system (ATIS) in intelligent transportation systems (ITS). Accurate …

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 …

The main goal of the current study is to take advantage of advanced numerical and
intelligent tools to predict the speed of a vehicle using time series. It is clear that the …

With Inter-Cloud, distributed cloud and open cloud exchange (OCX) emerging, a
comprehensive resource allocation approach is fundamental to highly competitive cloud …

Lane-level traffic state prediction is one of the most essential issues in the connected
automated vehicle highway systems. Accurate and timely traffic state prediction of the lane …

Road traffic congestion can inevitably degrade road infrastructure and decrease travel
efficiency in urban traffic networks, which can be relieved by employing appropriate …

Accurate and reliable forecasting of traffic variables is one of the primary functions of
Intelligent Transportation Systems. Reliable systems that are able to forecast traffic …