8/28/ Effects-Based Crisis Management and Rescue Operations A Research Project Proposal to the Swedish Rescue Services Agency

Outline ROMEO (Research on Management of Effective Operations) Project Proposal to SRV : Crisis Management and Rescue Operations in Robust Societies

Vision ROMEO will become one of the leading national and international research centres in the area of effects based support for management of civil and military operations

Supporting Management of Operations Individuals with wearable equipment Groups in mobile units Crisis and operation management in staffs. Meeting context. Long term planning in normal office environments. Time for decision- making Days Hours Seconds Minutes Months

Resource Optimization Service Model Based Info Fusion Service Query Based Reasoning Service Simulation for Experiments Scalable Architecture CGF Simulation Service Interoperability Service Event and Recovery Analysis UAV/UGV Control Service EBO Analysis Engine EBO Collaborative Management Individuals Mobile groups Crisis staffs Planning Data and Info Flow Architecture Use of Unmanned Vehicles Weather and GIS Visualisation Agent Based Information Integration Multi-Modal HMI Services Integrated Logistics Service User studies and integration Human-Machine Interaction Methods and Services Interoperability Methods and Services Architectural Issues AI-Based Tools for EBO Analysis Inter- disciplinary Research Projects

Participants so far… Lena Mårtensson, Industrial Engineering and Management, KTH Henric Christensen, Centre for Autonomous System, KTH Fang Chen, Interaction Design, Chalmers Philippas Tsigas, Distributed Computing and Systems, Chalmers Anders Ynnerman, Visualization and Interaction Studio, LiU Jenny HållmatsSaab Systems Claes BäckströmSaab Systems Klas WalleniusSaab Systems Sigvard BrodénSaab Systems

Expected Long-Term Funding and Development

Outline ROMEO (Research on Management of Effective Operations) Project Proposal to SRV : Effects-Based Crisis Management and Rescue Operations

Problem: Crisis Management and Rescue Operations Perform preventive planning – Build a causal model of risks in the society – Define indicators of potentially hazardous events – Define actions to perform if these events occur Predict risks – Monitor the indicators and predict effects – Alert when risk level supersedes the threshold level Manage rescue operations – Identify optimal actions – Continue predict risks and identify actions as the situation develops

Purpose of the Project Investigate how predictive situation managament can facilitate restoring of the security during a hazardous event. Investigate the current state of the art and required development in different areas, e.g.: – Risk Management – Information Fusion and Event Detection – Agent-Based Simulation – Multi-Modal User Interfaces Investigate requirements and usability issues among the rescue forces and and other actors at different decision levels involved in the managament of the event. Demonstrate a simplified prototype system Form the basis for a future research and development program in situation management funded by e.g. EU and the Swedish Government

Predictive Situation Management Public Safety Safety of Personel Infrastructure Environment Budget OkCompromisedSevere Water Tower Overall priorities Legend Outcome Probabilities Population Hazards Own Units Important Objects Power Plant Chemical Industry

System Overview Example Video Cameras Alerts from infrastructure monitoring Object Extraction/ Tracking Situation Analysis/ Event Recognition Prediction/ Embedded Simulation SOS Alarm Rescue ServicesOther Collaboration/ Command Support Weather forecasts Reports and Emergency Calls

An Example of a Causal Model (Military Case)

Going From a Chance Node to a ’Probabar’ OK (Casualties = 0) Compromised (0 < Casualties ≤ 100) Severe (100 ≤ Casualties) 52 % 38 % 10 % Goal: No Casualties

Project Organization Part of the ROMEO program Involves Amount of work – 2-3 PhD students 2-3 * 100 % of full time – Senior researchers at LiU, Chalmers and KTH2-3 * 20 % of full time – Technology, HMI, and rescue expertise from Saab1-2 * 20 % of full time – Rescue expertise from Attunda Fire & Rescue service1 * 20 % of full time ????? Budget – T.B.D. Time – – Work on the proposal – Visit at SRV ~ – Deadline ~