A simulation project for Information and Communication Technology (ICT) system design and Business Process (BP) design in an organisation usually starts with an unstructured problem situation. We have already outlined a simulation meta-methodology addressing the situation. Now, we give a detailed description of the proposed simulation meta-methodology dealing with both the hard and the soft asp...

Short-term prediction of traffic flow is central to alleviating congestion and controlling the negative impacts of environmental pollution resulting from vehicle emissions on both inter- and intra-urban highways. The strong need to monitor and control congestion time and costs for metropolis in developing countries has therefore motivated the current study. This paper establishes the applicatio...

  Selection of appropriate infrastructure transportation projects such as highways, plays an important role in promotion of transportation systems. Usually in evaluation of transportation projects, because of lack of information or due to long time and high expenditures needed for gathering information, different effective factors are ignored. Thus, in this research, regarding multi criteria na...

The modelling of traffic flow using methods and models from physics has a long history. In recent years especially cellular automata models have allowed for large-scale simulations of large traffic networks faster than real time. On the other hand, these systems are interesting for physicists since they allow to observe genuine nonequilibrium effects. Here the current status of cellular automat...

Security data fusion is fundamental and essential for intelligent traffic systems. A dynamic data fusion scheme is proposed to guarantee the security and accuracy of sensed data. It is used to collect and manage multi-source traffic messages. It improves K-neighbor nonparametric regression method on the basis of repeated occurrence feature of traffic flow state mode. Double-screening for neighb...

Traffic Management and Information Systems, which rely on a system of sensors, aim to describe in real-time traffic in urban areas using a set of parameters and estimating them. Though the state of the art focuses on data analysis, little is done in the sense of prediction. In this paper, we describe a machine learning system for traffic flow management and control for a prediction of traffic f...

The modelling of traffic flow using methods and models from physics has a long history. In recent years especially cellular automata models have allowed for large-scale simulations of large traffic networks faster than real time. On the other hand, these systems are interesting for physicists since they allow to observe genuine nonequilibrium effects. Here the current status of cellular automat...

In this paper, we introduce a new aggregate air traffic flow management model. Our integer programming model uses as a starting point the model recently introduced by Bertsimas, Lulli and Odoni. It employs a new set of more general airspace constructs that allow both more complex airspace elements to be represented as well as more aggregate-level modeling. We provide experimental results that i...