Mathematical Models for Optimizing Transportation Services
The University of Auckland
19 - 22 April 2005

The Operations Research Group of the University of Auckland is pleased to announce and extend a welcome to attend a workshop on Mathematical Models for Optimizing Transportation Services to be held at the University of Auckland from April 19-22, 2005. The workshop is jointly funded by the New Zealand Institute of Mathematics and its Applications and the Operations Research Group of the University of Auckland, as part of a thematic programme in optimization.

Workshop Theme

The theme of the workshop is optimization of transportation services. The transportation services industry has a long and successful history of applying mathematics in their planning processes. Optimization models are employed on a routine basis, e.g. in routing and crew planning. In recent years the ability to solve these models in industrial applications has motivated a trend to consider such problems in increasingly realistic settings. One enhancement is to consider the uncertainty that prevails in operation as compared to the deterministic scenario assumed for planning. Other extensions to the theory have looked at optimizing the design of transportation systems for use by many agents when they are all optimizing individually. A further focus of attention has been the development of pricing models that either maximize revenue for service providers or deliver economically efficient allocation of resources in transportation systems.

The workshop will focus on these three broad areas of major importance: transportation planning under uncertainty, optimizing the design of transportation systems, and pricing and revenue management. Exploring the interface between these areas will be of particular interest, and so the workshop will bring together researchers who work in each of these fields to provide a cross-fertilization of ideas. A further goal is to emphasize the interface between mathematical optimization and its applications in practical situations. To enhance this we will be engaging the support and participation of industrial partners.

The workshop will include a special session on the use of modelling, optimisation, simulation and other mathematical tools for improving the efficiency of emergency services (ambulance, fire, police). Topics of interest include improved approaches in operational and strategic areas areas such as modelling transport networks, optimizing base locations, determining move-up plans, optimizing dispatch policies etc.

The workshop organizers

Prof. Andy Philpott
Prof. David Ryan

Assoc. Prof. Matthias Ehrgott