Title : 
Balancing workloads of service vehicles over a geographic territory
         
        
            Author : 
Carlsson, John Gunnar ; Carlsson, Erik ; Devulapalli, Raghuveer
         
        
            Author_Institution : 
Univ. of Minnesota, Minneapolis, MN, USA
         
        
        
        
        
        
            Abstract : 
Autonomous vehicles (or drones) are very frequently used for servicing a geographic region in numerous applications. Given a geographic territory and a set of n fixed vehicle depots, we consider the problem of designing service districts so as to balance the workload of a collection of vehicles which service this region. We assume that the territory is a connected polygonal region, i.e. a simply connected polygon containing a set of simply connected obstacles. We give a fast algorithm, based on an infinite-dimensional optimization formulation, that divides the territory into compact, connected sub-regions, each of which contains a vehicle depot, such that all regions have equal area. We also show how we can use this algorithm to find better locations of the vehicle depots.
         
        
            Keywords : 
autonomous aerial vehicles; collision avoidance; mobile robots; optimisation; autonomous vehicles; drones; geographic territory; infinite-dimensional optimization formulation; service districts design; service vehicles; simply connected polygon; vehicle collection; vehicle depot; workload balancing; Algorithm design and analysis; Indexes; Linear programming; Optimization; Partitioning algorithms; Vectors; Vehicles;
         
        
        
        
            Conference_Titel : 
Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on
         
        
            Conference_Location : 
Tokyo
         
        
        
        
            DOI : 
10.1109/IROS.2013.6696355