A class of network models developed for optimizing the use of a fleet of vehicles can be viewed as time-staged optimization models. Such models which have linear objective functions suffer particularly from end effects, the distortions introduced by employing a finite planning horizon. This...

Variability in the demand for air travel is studied with respect to stochastic and time varying components which affect the distribution of passengers who will want to travel on a particular day. The problem is then cast as one of optimizing the total capacity offered in a given time period...

We address the problem of forecasting spatial activities on a daily basis that are subject to the types of multiple, complex calendar effects that arise in many applications. Our problem is motivated by applications where we generally need to produce thousands, and frequently tens of thousands,...

A useful input to the pricing of truckload trucking services is the marginal benefit to the entire system of an additional load going from one region to the next. Two approaches are reviewed for estimating the marginal system benefit. The first is based on a well-known deterministic network...

The passenger loading problem is defined as that of determining the distribution of passengers that will be carried on each flight in a given market over the course of the day. This problem is stochastic in nature, and must take into account the fact that as some flights become booked up,...

The usual approach to studying bulk service queues is to assume that successive headways are independent. This assumption is frequently violated in systems where vehicles depart according to a fixed schedule, but where deviations from the schedule may occur. A late departure implies there is one...