Microscopic urban traffic simulators embed numerous behavioral models that describe individual driver decisions (e.g. route choice, departure time choice, response to information) to capture the interactions between complex travel demand patterns and network supply phenomena. These disaggregate models make them detailed tools appropriate to perform scenario-based or sensitivity analysis. Nevert...

This paper analyzes an optimal data co l lection and processing system for detecting a random signal f ield in a random noise f ield employing multiple antennas. The statist ical model consists of a Gaussian random signal f ield and an independent Gaussian noise f i e ld . The time optimal data processing system to be analyzed is specified in terms of array deployment and signal/noise space tim...

Generalized Diffusion Tensor Imaging (GDTI) [1] is one of the few methods that estimate the ensemble average diffusion propagator from the diffusion weighted signal. It has a statistical approach and views the signal, which under the q-space formalism is the Fourier transform of the propagator, as the characteristic function of the propagator. Instead of taking the inverse Fourier transform of ...

abstract: gridlock is an extreme traffic state where vehicle cannot move at all. this research studies the development of gridlock by theoretical and numerical analysis. it is shown that the development of gridlock can be divided into several stages. the core of the development is the evolution of congestion loop. a congestion loop is comprised of a number of consecutively connected spillover l...

Multidimensional databases is a key technology in the enabling of interactive analyses of large amounts of data for decision-making purposes. Multidimensional databases differ from previous technologies by viewing data specifically as multidimensional cubes, which have proven to be particularly well suited for data analyses. Multidimensional models more specifically categorize data as either fa...

Cluster computation power provides a promising way to improve response time in large data warehouses. On the other hand, the use of sampling summaries on the cluster for approximate answering of OLAP queries provides a very flexible system that can provide response time guarantees. In this paper we explore the cluster computation paradigm for data warehouses and summaries. The use of cluster co...