Dynamic Vehicle Routing In Road Evacuation:
Route Design Experimentation
Author(s)
A. Polimeni & A. Vitetta
Abstract
In this paper, a shortest paths algorithm to find the paths in a time-dependent
network is implemented and tested both on test and real networks. In the
application on the real network, the data (obtained with real-time observations)
are integrated with forecast data (to define the costs on non-observed network
elements) obtained from a dynamic traffic simulation. The real case application
is performed in emergency conditions; the aim is to optimize emergency vehicle
routes (defined as a path succession) to reduce intervention times.
Keywords: time-dependent network, dynamic shortest path algorithm, route
design, emergency conditions.
1 Introduction
In this paper we report an experiment related to paths and routes design for
emergency vehicles in a time-dependent network. In a previous work [1] a model
for path and route design in time-dependent networks was discussed. For
simplicity sake, we refer to [1] for the full model formulation. Travel time
forecasts and best vehicle routing are particularly important in emergency
conditions.
In a road network in emergency conditions it is essential to provide system
users’ information in real time. To achieve this objective, we must know the
evolution of link cost functions. Starting from the observed data, it is possible to
calibrate the link cost functions, simulating the system in a time slice [1, 2]. This
approach allows us to forecast link costs as time varies and hence to design paths
(at the limit, instant by instant). The time -dependent link cost [3, 4] is
Keywords
time-dependent network, dynamic shortest path algorithm, route
design, emergency conditions
Related Book
Other papers in this volume
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