A traffic network can be viewed as a geometric graph with the nodes representing traffic
infrastructures and the edges standing for the links between these nodes. In order to reduce …

Traffic flow forecasting is an important problem for the successful deployment of intelligent
transportation systems, which has been studied for more than two decades. In recent years …

Accurate traffic volume prediction can help traffic managers to control traffic well, and can
also provide convenient travel routes for passengers. In order to better describe the non …

Conventional visual ship tracking methods employ single and shallow features for the ship
tracking task, which may fail when a ship presents a different appearance and shape in …

Many materials with remarkable properties are structured as percolating nanoscale
networks (PNNs). The design of this rapidly expanding family of composites and …

This paper contributes to filling two gaps: i) the presence of a limited amount of studies
focused on tourism demand turning points, ii) the prevalent recourse to linear models in …

Abstract Understanding Origin–Destination distribution of taxi trips is very important for
improving effects of transportation planning and enhancing quality of taxi services. This …

Discovering dynamic characteristics in traffic flow is the significant step to design effective
traffic managing and controlling strategy for relieving traffic congestion in urban cities. A new …

This paper is concerned with the issue of fixed-time (FT) and preassigned-time (PT)
synchronization of impulsive complex networks (ICNs) with mismatched parameters. Firstly …

Tower-crane accidents occur frequently with serious consequences, including deaths,
serious injuries, and economic losses. To identify the critical causes and paths of tower …