of jobs in the system is equal to the product of the average arrival rate into the system and the average time a job spends in the system. This also holds when the “system” consists of just the “queues ” in the system. Little’s law applies to both open and closed systems, and we’ll explain it in both

In recent years the Federal Aviation Administration (FAA) has made reduction of runway incursions a priority for surface operations throughout the national airspace system. In a series of experiments conducted in April 2001, NASA studied alternatives designed to improve the efficient movement of surface traffic and reduce runway incursions at Los Angeles International Airport (LAX). The experiments were conducted in NASA Ames Research Center’s FutureFlight Central (FFC), a full virtual reality air traffic control tower cab simulator. This paper details the lifecycle of the safety studies from design to execution, describes the alternatives that were proposed for runway incursion reduction, and offers a brief summary of the experiment results. Nomenclature http://ffc.arc.nasa.gov/about_us/technical_papers/runway.html (1 of 17) [6/5/2003 11:41:58 AM] Runway Incursion Studies in NASA'S FutureFlight Central AAR ASDE-X ATC ATIS ATSP D-BRITE

Inbound call center operations are challenging to manage, in large part because there is considerable uncertainty in estimates of arrival rates, which vary over time. We have developed a general purpose simulation model for inbound call center operations which supports time varying and uncertain

Goodman, Greenberg, Madras and March gave a lower bound of n 1 8 n) for the maximum arriaval rate for which the n-user binary exponential backo protocol is stable. Thus, they showed that the protocol is stable as long as the arrival rate is at most n 120 n) . We improve the lower bound

Estimating the arrival rate function of a non-homogeneous Poisson process based on observed arrival data is a problem naturally arising in many applications. Cubic spline functions are particularly well-suited to represent such estimates since they are suciently versatile and easy to handle

An efficient method for the smooth estimation of the arrival rate of non-homogeneous, multi-dimensional Poisson processes from inexact arrivals is presented. The method provides a piecewise polynomial spline estimator. It is easily parallelized, and it exploits the sparsity of the neighborhood

arrive clustered around the departure time. This research evaluated the influence of headway and other factors on passenger arrival rates at public transport stations based on data collected at 28 stations in Zurich’s public transport network. It found that even at 5-minute headways, some passengers

We introduce a new method for forecasting emergency call arrival rates that combines integer-valued time series models with a dynamic latent fac-tor structure. Covariate information is captured via simple constraints on the factor loadings. We directly model the count-valued arrivals per hour

We introduce a new method for forecasting emergency call arrival rates that combines integer-valued time series models with a dynamic latent factor structure. Covariate information is captured via simple constraints on the factor loadings. We directly model the count-valued arrivals per hour

. We study the problem of scheduling the server activation under the constraints imposed by the dependency among them. The performance criterion of a scheduling policy m is its throughput that is characterized by its stability region C,, that is, the set of vectors of arrival rates for which the system