Ferry traffic prediction is an important consideration for urban transportation authorities. A
novel methodology which considers cyclical patterns in ferry on‐board vehicle traffic and …

This paper presents a new class of models for predicting vehicle traffic delay in ferry
terminals. Ferry service plays an important role in many cities adjacent to navigable bodies …

Ferry service plays an important role in several cities with waterfront areas. Transportation
authorities often need to forecast volumes of vehicular traffic in queues waiting to board …

This paper presents an agile approach for managing ferry terminals. We propose a double-
stage model that forecasts traffic. The hybrid model is based on quantitative tools. First, we …

Accurate truck arrival prediction is complex but critical for container terminals. A deep
learning model combining Gated Recurrent Unit (GRU) and Fully Connected Neural …

Global urbanization has made the urban rail transit system an essential service for a
growing population. To help urban rail transit stations design optimal operational plans …

Rapid and accurate short-term passenger flow prediction plays an important and far-
reaching role in passenger flow control and early warning. In fact, the short-term passenger …

To realize the accurate prediction of the short-term passenger flow of rail transit and explore
the changing mechanism of passenger flow under the station closure, a short-term spatio …

Accurate prediction of short-term passenger flow is vital for real-time operations control and
management. Identifying passenger demand patterns and selecting appropriate methods …

Short-term passenger flow prediction is a critical component of urban rail transit operations.
However, predictions of passenger flow are mostly focused on one station, and land use …