As a representative of shared mobility, bike sharing has become a green and convenient
way to travel in cities in recent years. Bike usage prediction becomes more important for …

Cyber-physical systems (CPS) refer to systems that integrate communication, control, and
computational elements into physical processes to facilitate the control of physical systems …

Accurate spatial-temporal prediction is a fundamental building block of many real-world
applications such as traffic scheduling and management, environment policy making, and …

To improve the management ability of expressway service area and formulate strategies for
traffic flow changes in time, a short-term traffic flow prediction model is proposed. Firstly …

In the present scenario, the transportation Cyber Physical System (CPS) improves the
reliability and efficiency of the transportation systems by enhancing the interactions between …

Prediction of passenger flow distribution in urban rail transit stations can provide important
data support for passenger flow organization and passenger travel guidance. However …

Traffic flow prediction is the key to transportation safety and efficiency. The advance in
machine learning and deep learning has promoted the development of intelligent …

The escalating charging demands driven by the rapid expansion of electric vehicles (EVs)
can lead to overlap with residential load, impacting power system instability. Therefore …

Recently, increasing interest in managing pedestrian and bicycle flows has been
demonstrated by cities and transportation professionals aiming to reach community goals …

Path prediction is an essential task for many real-world Cyber-Physical Systems (CPS)
applications, from autonomous driving and traffic monitoring/management to …