The European Commission’s emergency planning system known as SAVEME aims to save lives during both natural and man-made disaster events in below-ground public transport terminals, vehicles, and critical infrastructures. Simudyne technology has helped the project develop an intelligent sensor-based system which detects emergency events and is able to provide rapid, targeted information to aid mass evacuation.
Successful live testing of the SAVEME system has taken place in the UK’s Monument Metro Station on the Tyne & Wear Metro Rapid Transit System and in the Colle Capretto road tunnel in Italy.
The goal of this project was to be able to immediately identify the problems facing travellers, stakeholders, and responders as the emergency, be it physical disaster or terrorism, occurs. The likelihood of darkness, smoke, and vapour obscuring direct vision and cameras during the event meant the SAVEME team needed to develop a holistic system that included a technological architecture capable of recognising travellers and their problems as well as hazards, their causes, and levels of severity and allow effective means of mitigation. It was clear that a visual system needed to be developed to display data received from sensors in the transportation hubs during an emergency. This system would show operators the hazards, show where people are located in the facility, and display any additional information required at that time. To function successfully, SAVEME needed to map the layout of the various locations, to levels of extreme accuracy, in order to effectively communicate with the sensor systems.
Simudyne’s simulation technology recreated the transportation hubs in a 3D environment, to perfect scale, with textures and details allowing separate areas to be easily identifiable. The SAVEME system takes data from the in-place sensors within the transport system, which, using our IVE technology, is translated into visual representations. This allows real-time representations of travellers, hazards, and vehicles to be mirrored in the virtual world visualisation – displayed as both imagery and an information dashboard, and available to off-site operators through connected mobile devices to emergency responders allowing them to identify hazards and to coordinate and manage mass evacuation.
- The SAVEME system generated an optimal evacuation plan for each class of traveller, and it provided 98% of users with accurate information to be able to exit by the quickest, safest route.
- 96.5% of emergency events detected by the Wireless Sensor Network (WSN) were transmitted to the Decision Support System (DSS) within 60 seconds.
- The SAVEME system detected 100% of the travellers and rescue teams who were provided with an indoor localisation module.
- 95% of trial participants declared that the SAVEME system could improve the general evacuation procedure of travellers in emergency situations, and 60% stated that the SAVEME system would change the way they would behave if faced with an emergency situation.
- 26% of the additional comments from the participants specifically highlighted the effectiveness of the Collective Herding Guidance Screen.