This paper presents an integer programming model for dynamic channel assignment (DCA) under space and time-varying traffic demand. The algorithm minimizes the number of channels required to satisfy the traffic demand using a threshold based decision criterion on the carrier-to-interference ratio. A neighborhood based search procedure uses the most recent channel state information to perform a f...

The optimization of channel assignment in cellular networks is a very complex optimization problem and it becomes more difficult when the network handles different classes of traffic. The objective is that channel utility be maximized so as to maximize service in a stochastic caller environment. We address in this paper, the dynamic channel assignment (DCA) combined with call admission control ...

This paper summarises some of the main modelling and interface developments made recently in the AIMSUN microscopic traffic simulator to provide a better response to the requirements for the assessment of ITS systems, advanced transport analysis and ATMS. The description addresses two main areas: improvements on the dynamic assignment capabilities, and the embedding of the simulator in the AIMS...

The present paper provides an empirical investigation of the potential impacts of advanced traffic control measures, such as route guidance information, on traffic flow patterns. The simulation-based quasi-dynamic traffic assignment model (DNA) used appears to be an efficient tool for capturing the demand profile changes of drivers under the presence of information-based control measures. The r...

Dynamic Traffic Assignment (DTA) has been studied for more than four decades and numerous reviews of this research area have been conducted. This review focuses on the travel choice principle and the model classifications of DTA, and is supplementary to the existing reviews. The implications of the travel choice principle for the existence and uniqueness of solutions of DTA are discussed, and t...

Abstract— A Cognitive radio is multi dimensionally aware and autonomous system that learns from its experience to plan its future operation. This communication system focuses on dynamic spectrum usage rather than fixed spectrum assignment. Through NETSIM version7, performance of spectrum sensing in terms of data traffic is shown, by varying number of incumbents and number of operational interva...

1 A Dantzig-Wolfe Decomposition-Based Heuristic for Off-line Capacity Calibration of Dynamic Traffic Assignment / D.-Y. Lin. V. Vatsaraj, S.T. Waiter 16 Influence of Demand Uncertainty and Correlations on Traffic Predictions and Decisions / J.C. Duthie.A. Unnikrishnan, S.T. Waiter 30 Peak Ground Acceleration Estimation by Linear and Nonlinear Models with Reduced Order Monte Carlo Simulation / K...

In recent years, there has been considerable interest within the tracking community in an approach to data association based on the m-best two-dimensional (2-D) assignment algorithm. Much of the interest has been spurred by its ability to provide various efficient data association solutions, including joint probabilistic data association (JPDA) and multiple hypothesis tracking (MHT). The focus ...