Forecasting user flows on transportation networks is a fundamental task for Intelligent
Transport Systems (ITSs). Indeed, most control and management strategies on …

This paper deals with the efficiency and sustainability of urban rail transit (URT) using
exploratory data analytics (EDA) and data envelopment analysis (DEA). The first stage of the …

Due to the continuous improvement of productivity, the transportation demand of freight
volume is also increasing. It is difficult to organize freight transportation efficiently when the …

Real-time demand prediction is a critical input for dynamic bus routing. While many
researchers have developed numerous complex methods to predict short-term transit …

With the development of modern cities, urban rail transit has become an indispensable part
of residents' travelling mode, and accurate prediction of urban rail transit passenger flow is …

This paper presents results from a case study of fare revenue prediction in public
transportation in Berlin using machine learning and time series analysis. Our work aims to …

Sažetak In the post-epidemic era, dynamic monitoring of expressway road freight volume is
an important task. To accurately predict the daily freight volume of urban expressway …

Sažetak As a critical component of urban transportation, metro systems demand rigorous
passenger flow safety management. This study proposes a comprehensive decision-making …

Problems of modeling seasonality in the study of the temporal distribution of passenger
traffic in road transport according to the daily data on the example of the Sverdlovsk region …

The accurate prediction of tourist flow in scenic areas is crucial for effective tourist area
management. This paper introduced the Baidu index associated with search engine data …