With the recent increase in urban drift, which has led to an unprecedented surge in urban
population, the smart city (SC) transportation industry faces a myriad of challenges …

Accurate short-term forecasting of public transport demand is essential for the operation of
on-demand public transport. Knowing where and when future demands for travel are …

Transportation systems through the ages have seen drastic evolutions in terms of
transportation methods, speed of transport, infrastructure, technology, connectivity, influence …

Accurate estimation of intercity heavy truck mobility flows is of vital importance to urban
planning, transportation management and logistics operations. The inaccessibility of big …

Efficient transportation planning and management are critical for ensuring the smooth
operation of rail transit systems, particularly in urban areas with high passenger demand …

Global temporal information and local semantic information are essential cues for high-
performance online object detection in videos. However, despite their promising detection …

Short-term Origin-Destination (OD) matrix prediction in metro systems aims to predict the
number of passenger demands from one station to another during a short time period. That …

Short-term travel demand forecasting is the critical first step to support transportation system
management. Complex relevance among Origin-Destination (OD) pairs, temporal …

Time series analysis has been used extensively in transport research in various areas, such
as traffic management and transport planning. Time-series data may contain temporal and …

Accurate long-term origin-destination demand (OD) prediction can help understand traffic
flow dynamics, which plays an essential role in urban transportation planning. However, the …