Accurate clearance time prediction for road incident would be helpful to evaluate the
incident impacting range and provide route guiding strategy according to the predicted …

Accurate short-term traffic forecasts help people choose transportation and travel time.
Through the query data, many models for traffic flow prediction have neglected the temporal …

To understand the status quo of urban recurrent traffic congestion, the current results of
recurrent traffic congestion, and gating control are reviewed from three aspects: traffic …

Accurate prediction of traffic information (ie, traffic flow, travel time, traffic speed, etc.) is a key
component of Intelligent Transportation System (ITS). Traffic speed is an important indicator …

Due to the accessibility for connected vehicle (CV) to obtain the V2X covered traffic
conditions and signal phase and timing (SPaT) information, the CV becomes able to follow …

Accurate ship trajectory plays an important role for maritime traffic control and management,
and ship trajectory prediction with Automatic Identification System (AIS) data has attracted …

Accurate prediction and reliable significant factor analysis of incident clearance time are two
main objects of traffic incident management (TIM) system, as it could help to relieve traffic …

A copula-based dependence approach accommodates various facets of dependence
structures in building multivariate stochastic models. In existing studies, applications of …

With considerable under-reporting of roadkills, the impact of transport on biodiversity is
mostly underestimated. The main goal of this study was to compare official roadkill records …

In recent years, globally quantile-based model (eg quantile regression) and spatially
conditional mean models (eg geographically weighted regression) have been widely and …