WIT Press


An Approach To Designing Vehicle Routes In Evacuation Conditions

Price

Free (open access)

Volume

43

Pages

12

Page Range

469 - 480

Published

2010

Size

3,302 kb

Paper DOI

10.2495/RISK100401

Copyright

WIT Press

Author(s)

A. Polimeni, A. Quattrone & A. Vitetta

Abstract

In this paper what to models are considered in order to define optimal emergency vehicle distribution (in terms of vehicle numbers, weak users sequence to visit) and hence paths/routes with the objective to optimize the total time for safe users in evacuation condition. The design problem is tackled with a multilevel approach, which allows, by subsequent steps, to consider the network performances, the vehicle paths (One to One Problem) and the vehicle routes (Vehicle Routing Problem). In this paper the whole model is specified in terms of input and output variables and objective function. Keywords: evacuation emergency conditions what to models. 1 Introduction The network design problem can be treated using two different approaches: what if and what to [1]. In both cases the demand and the supply model are given. In the what if approach a specific configuration of the supply is also given. In both cases link flows can be calculated, as well as indicators of performance and impacts, deriving from a demand-supply interaction model, which are useful to evaluate the current solution. In the what to approach, there is a design model that generates and evaluates supply configurations by using information from previous explored solutions, considering both a set of objectives and a set of constraints. The route design for emergency vehicles can be tackled with a what to approach, in which the routes are the output of a multi-step process. The route design, or commonly Vehicle Routing Problem (VRP), is much discussed in literature [2, 3], but there are few papers in which it is connected with the network characteristics and link performances related to the demand [4, 5].

Keywords

evacuation, emergency conditions, what to models