Distributed autonomous GIS to form teams for public safety

Public safety requires emergency response that is timely and efficient. This paper describes how to distribute the emergency call among those in the area so as to optimize their locations when called, and their expertise. The call will route to the next most qualified if those in the immediate vicinity cannot come. We describe the system architecture and provide the algorithmic rules, as well as sketch an interface and propose how the completed system could be evaluated.

[1]  John Anderson,et al.  Dynamic heterogeneous team formation for robotic urban search and rescue , 2015, J. Comput. Syst. Sci..

[2]  Nil H. Kilicay-Ergin Improving Collaboration in Search and Rescue System of Systems , 2014, Complex Adaptive Systems.

[3]  Jean Berger,et al.  An innovative multi-agent search-and-rescue path planning approach , 2015, Comput. Oper. Res..

[4]  Shuangqing Wei,et al.  Optimal call admission and preemption control for public safety communications , 2015, 2015 49th Annual Conference on Information Sciences and Systems (CISS).

[5]  Sergio F. Ochoa,et al.  Human-centric wireless sensor networks to improve information availability during urban search and rescue activities , 2015, Inf. Fusion.

[6]  John Anderson,et al.  Dynamic Heterogeneous Team Formation for Robotic Urban Search and Rescue , 2013, ANT/SEIT.

[7]  Stephen F. Smith,et al.  Data Model of the Strategic Action Planning and Scheduling Problem in a Disaster Response Team , 2014 .

[8]  Reza Nourjou,et al.  Introduction to spatially distributed intelligent assistant agents for coordination of human-agent teams' actions , 2011, 2011 IEEE International Symposium on Safety, Security, and Rescue Robotics.

[9]  Sarit Kraus,et al.  Methods for Task Allocation via Agent Coalition Formation , 1998, Artif. Intell..

[10]  Reza Nourjou,et al.  Simulation of an Organization of Spatial Intelligent Agents in the Visual C#.NET Framework , 2014 .

[11]  Lovekesh Vig,et al.  Multi-robot coalition formation , 2006, IEEE Transactions on Robotics.

[12]  Gerald Schaefer,et al.  Increasing allocated tasks with a time minimization algorithm for a search and rescue scenario , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[13]  Manuela M. Veloso,et al.  Dynamic User Task Scheduling for Mobile Robots , 2011, Automated Action Planning for Autonomous Mobile Robots.

[14]  Takahiro Hara,et al.  Exploring map-based interactions for co-located collaborative work by multiple mobile users , 2011, GIS.