The discovery of dependencies between components of a network can reveal relationships among components of multi-tier applications and the underlying IT infrastructure, such as servers and databases. Knowledge of these dependencies is thus important for the management of large distributed, heterogeneous and virtualized systems, where it is difficult to maintain an accurate view of how network a...

A new cellular automaton (CA) model is proposed to simulate traffic dynamics in urban two-way road network systems. The NaSch rule is adopted to represent vehicle movements on road sections. Two novel rules are proposed to move the vehicles in intersection areas, and an additional rule is developed to avoid the "gridlock" phenomenon. Simulation results show that the network fundamental diagram ...

Recent research has updated a 1998 study of the effects of traffic congestion on logistical efficiency in the UK. It has focused on the contribution of congestion to unreliability across nine sectors. The relationship between traffic flow and transit time variability has been modeled using data from the Highways Agency and speed-flow ratios. An analysis of transport KPI survey data and an inter...

Saturated capacities in traffic systems evoke increasing interest in simulations of complex networks serving as laboratory environment for developing management strategies. Especially for urban areas questions concerning overall traffic control have to be considered with regard to their impacts on the whole network. Modeling traffic flow dynamics using cellular automata allows us to run large n...

The ability to provide flexible, automated management of air traffic is critical to meeting the ever increasing needs of the next generation air transportation systems. This problem is particularly complex as it requires the integration of many factors including, updated information (e.g., changing weather info), conflicting priorities (e.g., different airlines), limited resources (e.g., air tr...

Application of thermodynamics to driven systems is discussed. As particular examples, simple traffic flow models are considered. On a microscopic level, traffic flow is described by Bando’s optimal velocity model in terms of accelerating and decelerating forces. It allows to introduce kinetic, potential, as well as total energy, which is the internal energy of the car system in view of thermody...

Guiding vehicles to their destination under dynamic traffic conditions is an important topic in the field of Intelligent Transportation Systems (ITS). Nowadays, many complex systems can be controlled by using multi agent systems. Adaptation with the current condition is an important feature of the agents. In this research, formulation of dynamic guidance for vehicles has been investigated based...

Congestion on roads is a major problem worldwide. Many roads now have induction loops implanted into the road surface providing real-time traffic flow data. These data can be used in a traffic management system to monitor current traffic flows in a network so that traffic can be directed and managed efficiently. Reliable short-term forecasting and monitoring models of traffic flows are crucial ...

It is shown that a variety of deterministic cellular automaton models of highway traffic flow obey a variational principle which states that, for a given car density, the average car flow is a non-decreasing function of time. This result is established for systems whose configurations exhibits local jams of a given structure. If local jams have a different structure, it is shown that either the...

Multi-agent systems have proven to be a powerful technology for the development of large-scale distributed systems that have to deal with highly dynamic systems. The traffic and transportation systems have this feature, which makes them an excellent application area of these systems. This paper proposes a multi-agent system able to make recommendations of travel routes in real time. An agent-ba...