The Macroscopic Fundamental Diagram (MFD) relates the number of circulating vehicles (or
accumulation) to a neighbourhood's average speed or flow. In theory the MFD has a well …

In this paper we look at the problem of estimating traffic states within segments of road using
a particle filter and traffic measurements at the segment boundaries. When there are missing …

Traffic congestion is one of the most difficult problems in the 21st century. Different
approaches have been developed to deal with traffic congestion and manage traffic flow. In …

交通流预测是智能交通系统的核心组成部分. 针对当前交通流预测方法准确率低的问题,
提出一种交通流预测模型GA2T. 通过构建具有融合式编解码器的Transformer …

Traffic flow forecasting is an important foundation for intelligent traffic system control and
guidance, while microscopic traffic flow model plays an important role to reproduce the basic …

Traffic flow prediction is the core component of the intelligent transportation system. In view
of the low accuracy of the current traffic flow prediction methods, a new traffic flow prediction …

This paper proposes an adaptive modulation scheme using rain fading predictions obtained
via Kaiman filtering in order to mitigate the effects of rain on cognitive radio-based …

Accurate and real-time traffic prediction is essential for smart cities. However, due to the
diversity of traffic point of interest in the city, the spatial correlation of urban traffic is …

Rapid population growth with increasing urban-centric activities have imposed a massive
demand on urban transportation systems—leading to increased mobility, reduced safety …

In this study, the effect of direct and recursive multi-step forecasting strategies on the short-
term traffic flow forecast performance of the Long Short-Term Memory (LSTM) model is …