The present paper investigates the efficiency and robustness of different real-time dynamic origindestination (O-D) matrix adjustment algorithms when implemented in large-scale transportation networks. The proposed algorithms produce time-dependent O-D trip matrices based on the maximumentropy trip departure times, as they are calculated with the use of simulated and actual observed link flows....

Inverse maximum flow (IMDF), is among the most important problems in the field ofdynamic network flow, which has been considered the Euclidean norms measure in previousresearches. However, recent studies have mainly focused on the inverse problems under theHamming distance measure due to their practical and important applications. In this paper,we studies a general approach for handling the inv...

data envelopment analysis (dea) measures the relative efficiency of decision making units (dmus) with multiple inputs and multiple outputs. dea-based malmquist productivity index measures the productivity change over time. we propose a dynamic dea model involving network structure in each period within the framework a dea. we have previously published the network dea (ndea) and the dynamic dea ...

We study the Casimir force on a single surface immersed in an inhomoge-neous medium. Specifically we study the vacuum fluctuations of a scalar field with a spatially varying squared mass, m 2 + λ∆(x − a) + V (x), where V is a smooth potential and ∆(x) is a unit-area function sharply peaked around x = 0. ∆(x − a) represents a semi-penetrable thin plate placed at x = a. In the limits {∆(x−a) → δ(...

This work addresses two problems concerning continuous dynamic flows. A model is presented for a network that incorporates continuous time-varying flows, link capacities, node storage capacities, as well as time dependent link delays. It is an enhancement of previous results which do not incorporate time varying link delays. We present a generalized min-cut max-flow theorem for that model. A se...

Recent work has produced a theory for tropical convective available potential energy (CAPE) that highlights the Clausius-Clapeyron (CC) scaling of the atmosphere’s saturation deficit as a driver of increases in CAPE with warming. Here we test this so-called “zero-buoyancy” theory for CAPE by modulating the saturation deficit of cloud-resolving simulations of radiative-convective equilibrium in ...

End-to-end congestion control mechanisms help utilize network resources more optimally because they inherently cooperate with the congestion control mechanisms inside the network. Recent research has shown that coordinating congestion control strategies between flows can improve the performance of the group of flows as a whole. An important aspect of such congestion management is identifying fl...

Software-Defined Data Centers (SDDC) extend virtualization, software-defined networking and systems, and middleboxes to provide a better quality of service (QoS). While many network flow routing algorithms exist, most of them fail to adapt to the dynamic nature of the data center and cloud networks and their users’ and enterprise requirements. This paper presents SMART, a SoftwareDefined Networ...

The feedback effects of ATIS information for helping travelers choose optimal routes are researched. We build a dynamic route choice model for ATIS; analyze the adjustment and renewal process of travel route decision based on Bayesian method and logit choice model. Furthermore, through comparing whether can obtain ATIS information for users, the route choice rules are designed and practical sim...