A simulation based decision tool to coordinate emergency services in a road accident

The coordination of emergency services in road accidents is essential to ensure a quick intervention in critical situations. The number and kind of resources assigned must be determined dynamically, as not all the accident variables are known when an alert is received. In addition, some decisions can only be token at the accident scene and may affect emergency service's distribution. This paper presents the model and the laboratory environment that is being developed for the design of real-time decision tools for the coordination of emergency services. Furthermore, it describes the major characteristics of an optimization algorithm proposed to tackle the emergency services coordination problem. This algorithm combines heuristic methods and Constraint Satisfaction Problem techniques in a two interactive phases procedure.