This paper studies the problem of optimal parallel tracking control for continuous-time
general nonlinear systems. Unlike existing optimal state feedback control, the control input …

Advancements in complexity, complex systems, and the intelligence sciences, particularly
smart city technologies, have shown great potential in aiding to ease traffic congestion. The …

In this article, a new self-learning parallel control method, which is based on adaptive
dynamic programming (ADP) technique, is developed for solving the optimal control …

The railway network plays a significant role (both economically and socially) in assisting the
reduction of urban traffic congestion. It also accelerates the decarbonization in cities …

In subway systems, the automatic train operation (ATO) is gradually replacing manual
driving for its high punctuality and parking accuracy. But the existing ATO systems have …

The majority of existing studies in subway train operations focus on timetable optimization
and vehicle tracking methods, which may be infeasible with disturbances in actual …

The cyber-physical-social system (CPSS) presented here verifies and evaluates emergency
evacuation plans, allowing operators to model and explore the possible consequences of …

Integrating artificial systems, computational experiments, and parallel execution (ACP) is an
effective approach to modeling, simulating, and intervening real complex systems …

Intelligent transportation systems (ITS) has been one of the most active research fields in
recent years. This paper identifies most productive authors, institutions, and …

Railway re-emerges as one of the most important man-made physical systems in the world.
Hundreds of million passengers travel by trains within cities. Hence, the management and …