Title :
Receding horizon multi-vehicle routing for emergency scenarios
Author :
Chini, G. ; Poli, C. ; Oddi, G. ; Pietrabissa, A. ; Grigioni, M.
Author_Institution :
Dept. of Comput., Univ. of Rome Sapienza, Rome, Italy
Abstract :
This paper deals with dynamic Multi-Vehicle Routing Problem in both deterministic and stochastic scenarios; the objective is to find the best paths for a fleet of vehicles, with the aim of visiting a set of targets. Based on the Cooperative Receding Horizon approach proposed in [4] for the Euclidean case, this paper i) develop a routing algorithm for graph-represented mission spaces, ii) presents a switching algorithm, which is able to dynamically change the vehicle behaviour according to the time-variable configuration of both vehicles and targets, as well as to handle the discovery of unknown targets. Simulations show the algorithm effectiveness.
Keywords :
emergency management; graph theory; vehicle routing; cooperative receding horizon approach; emergency scenario; graph-represented mission spaces; multivehicle routing problem; receding horizon multivehicle routing; routing algorithm; switching algorithm; time-variable configuration; vehicle fleet; Equations; Heuristic algorithms; Routing; Space missions; Space vehicles; Trajectory;
Conference_Titel :
Control and Automation (MED), 2014 22nd Mediterranean Conference of
Conference_Location :
Palermo
Print_ISBN :
978-1-4799-5900-6
DOI :
10.1109/MED.2014.6961400