Accurate cost forecasting in budget planning and contract bidding is crucial for the success
of construction projects. Linear models such as the autoregressive integrated moving …

With the increasing demand of passenger and freight air transportation and their key role in
energy consumptions, this study developed a hybrid framework integrating machine …

The ability of government agencies to assign accurate ages of fish is important to fisheries
management. Accurate ageing allows for most reliable age‐based models to be used to …

Mobility demand analysis is increasingly based on smart card data, that are generally
aggregated into time series describing the volume of riders along time. These series present …

Predicting the urban traffic flow is of great importance for urban planners to be used in long-
term prediction or in Intelligent Transport Systems (ITS) for short-term predictions. Traffic …

Research indicates that the projection of traffic volumes is a valuable tool for traffic
management. However, few studies have examined the application of a universal …

The postpandemic period has seen a significant increase in traffic volume on freeways,
necessitating the implementation of advanced traffic management systems, such as lane …

Urban short-time traffic prediction is one of the most important services in smart city
transportation and it is becoming increasingly important as a fundamental service in vehicle …

Many German cities, municipalities and transport associations are expanding their bike-
sharing systems (BSS) to offer citizens a cost-effective and climate-friendly means of …

In this paper, a multi-interval input intervention unobserved component model (MIII-UCM) is
developed to model the crude oil production series. The focus of this study is on the …