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

IoT-driven intelligent transportation systems (ITS) have great potential and capacity to make
transportation systems efficient, safe, smart, reliable, and sustainable. The IoT provides the …

Parallel control and management have been proposed as a new mechanism for conducting
operations of complex systems, especially those that involved complexity issues of both …

This article presents an parallel traffic management system for integrated control and
management of urban transportation systems. This system's construction and operation are …

Intelligent Transportation Systems (ITS) have evolved as a key research topic in recent
years, revolutionizing the overall traffic and travel experience by providing a set of advanced …

Traffic congestion is a great concern, especially in urban areas where the vehicles' number
on roads continues to intensify significantly against the slow development of road …

Parallel transportation management and control was proposed three decades ago as a new
paradigm for conducting complex transportation operations and has led to today's DeCAST …

In this paper, we provide a critical discussion of parallel systems for traffic control.
Comparing each component of classical traffic control methodologies and their counterparts …

Agent-based traffic management systems can use the autonomy, mobility, and adaptability
of mobile agents to deal with dynamic traffic environments. Cloud computing can help such …

Transportation infrastructure is undergoing major revolutions in most metropolitan areas,
which demands for improved operational strategies to meet requirements of smart cities …