This paper reviews the range of traffic models, with particular attention to microsimulation. Although there are major types, there are so many hybrids that it is difficult to classify them all. The standard way of assigning traffic to a network is to find a static equilibrium from which no driver would be able to find a quicker route. This gives fairly good predictions of the link flows result...

In this report, we present a cycle-accurate multi-phase on-chip traffic generation and simulation environment. This environment provides deterministic traffic generation (traces replay) as well as stochastic traffic generation based on statistical analysis of a reference trace. We show that our traffic generators emulate precisely the behavior of processors or ip and that our environment is a v...

This paper presents a real-time incident management system that integrates the knowledge base with a microscopic traffic simulation model. The system consists of five modules: input module, knowledge-based module, prediction module, simulation module, and output module. The knowledge base is used to inventory the operational experience and traffic impact information associated with all recorded...

The classical scientific literature dedicated to transport modelling has emphasised three levels of detail on which traffic models could be created. These levels are: microlevel, mesolevel and macroscopic level. Microscopic and macroscopic modelling are well known and widely used. The term ‘mesoscopic modelling’ has been interpreted by different scientists in different ways. In general, mesosco...

The simulation of realistic networks is an important aspect in the development of new protocols or algorithms for communication networks. The traditional approach for such a simulation is to connect a certain amount of sources to network nodes and to measure the link load, end-to-end delay etc. in the simulation in order to evaluate the performance of the network. Network providers have a diffe...

We present a novel approach for the measurement and estimation of network traffic management between network nodes in heterogeneous environment. This research investigates performance evaluation of network traffic on heterogeneous services and technologies environment. We propose an enhanced equation to evaluate the performance of network traffic management via Little Law and Queuing theory to ...

Vehicular traffic simulations are useful in applications such as emergency planning and traffic management, for rapid response and resilience. Here, a parallel traffic simulation approach is presented that reduces the time for simulating emergency vehicular traffic scenarios. We use a reverse computation-based optimistic execution approach to parallel execution of microscopic, vehicular-level m...

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The main object of this study was to design and implement a suitable algorithm and its simulation for an intelligent traffic signal simulator. The system developed is able to sense the presence or absence of vehicles within certain range by setting the appropriate duration for the traffic signals to react accordingly. By employing mathematical functions to calculate the appropriate timing for t...

This paper identifies the structural properties of RealAudio traffic and develops an application-level model based on trace analysis and simulation studies. RealAudio traffic is quite different from web traffic and constant bit rate traffic, models commonly used for Internet and multimedia traffic respectively today. We demonstrate that RealAudio has rich behavior across a range of time scales,...