Complete traffic sensor data is a significant prerequisite for analyzing the changing rules of
traffic flow and formulating traffic control strategies. Nevertheless, the missing traffic data are …

The accurate short‐term travel demand predictions of ride‐hailing orders can promote the
optimal dispatching of vehicles in space and time, which is the crucial issue to achieve …

Intelligent traffic systems require data and recent studies on Short-Term Traffic Forecasting
(STTF) have incorporated the Spatiotemporal (ST) aspect to improve predictions. They …

This research paper explores the integration of cutting-edge computer vision technologies in
the domain of traffic monitoring to revolutionize traditional methods of traffic management. As …

This study analyses the effects of mixed sampling on Granger causality, where both
temporal aggregation and systematic sampling filters are used in the same model. From a …

In order to understand the current study status and development trend of traffic volume
forecasts, based on the VOS-viewer bibliometric tool and taking the Web of Science core …

The purpose of this study was to employ a network perspective to detect fluctuations in
tourism (at the level of tourism areas and by inbound tourism markets) that co-occur with …