The outbreak of the COVID-19 epidemic has had a huge impact on a global scale and its
impact has covered almost all human industries. The Chinese government enacted a series …

Social media traffic constitutes the highest percentage of Internet traffic. Such traffic is largely
facilitated by mobile devices, which imposes a huge traffic load on backhaul links in 5G …

In economic and financial applications, there is often the need for analysing multivariate time
series, comprising of time series for a range of quantities. In some applications, such …

The logistic community of shippers has struggled to predict the precise arrival time of the
seagoing vessels with reliable certainty. While deep-learning approaches are promising, the …

In this paper a methodology to improve the accuracy of the estimation of path travel times in
urban areas is proposed, as they play an important role in advanced management …

公交行驶轨迹预测是对公交车到达线路上的重要轨迹点, 如站点和道路交叉口等,
进行到达时间预测. 准确预测公交车到达站点和道路交叉口的时间, 可以提高城市公交系统的 …

In recent years, data-driven travel-time prediction methods have been actively developed
owing to the widespread availability of various observation data such as probe vehicle data …

In data-driven travel-time prediction, previous studies have mainly used speed as the input.
However, from a traffic engineering perspective, given that speed varies little in the free-flow …

With the advent and popularity of electric vehicles (EVs), the intelligent transportation system
has adopted them as an alternative to fossil fuel or gasoline vehicles owing to their benefits …

An accurate and reliable arrival time prediction of buses to the next bus stops is a valuable
tool for both passengers and operators. Existing studies have some limitations in bus travel …