Unexpected delays in train operations can cause a cascade of negative consequences in a
high-speed railway system. In such cases, train timetables need to be rescheduled …

In many real-world scenarios, multiple agents necessitate coordination with each other
because of their limited observation and communication capability. Deep multi-agent …

Pavement segments are functionally interdependent under traffic equilibrium, leading to
interdependent maintenance and rehabilitation (M&R) decisions for different segments, but it …

Effective traffic signal control (TSC) plays an important role in reducing vehicle emissions
and improving the sustainability of the transportation system. Recently, the feasibility of …

Aiming at the deficiencies of the existing intersection adaptive control methods in terms of
the control scheme initiative and the interaction level between simulation and the actual …

Efficient spectrum sharing is essential for maximizing data communication performance in
Vehicular Networks (VNs). In this article, we propose a novel hybrid framework that …

In many real-life scenarios, multiple agents necessitate cooperation to accomplish tasks.
Benefiting from the significant success of deep learning, many single-agent deep …

With the rapid improvement of the national economy in recent years, people's travel demand
has increased, bringing increasingly severe pressure on the current urban traffic signal …

Pavement systems are an important component of transportation infrastructure,
characterized by heterogeneity and interdependence. Pavement segments in a road …

In recent years, the viability of employing multi-agent reinforcement learning technology for
adaptive traffic signal control has been extensively validated. However, owing to restricted …