This article is published in the Case Study category.
Thanks to this data, urban experts may build trends and activity patterns maps of the city at the deployment sites. During the planning phase, critical parameters such as the expected number of visitors per area can be provided.
Accessing Crowd Analytics insights can be very useful during evacuation simulations to provide data concerning transportation plans. APIs also allow real-time integration with external emergency services.
The LBASense Situation Awareness for Large-Scale Evacuations technology is capable of detecting and counting mobile phones even when the mobile network is not operating. Analytics are based on signals that are used for estimating the location of mobile phones.
Once sensors are deployed as part of a citywide network, they offer many crucial capabilities. For example, security teams can track in real-time all mobile devices active within the coverage area of the system, regardless of the mobile phone’s operating system or the Telco provider.
For instance, in case of an earthquake, Emergency management teams can locate volunteers and people who do not carry special tracking equipment other than their phones.
Once the telecommunication infrastructures are back to normal, sensors mounted on cars, helicopters and drones also allow Search and Rescue teams to locate people stuck in rubbles from collapsed houses or onboard small ships lost at sea.
As shown during a fire evacuation in Yeungnam University in October 2015, Crowd Analytics can serve the purpose of making sure all individuals have left a potentially dangerous zone, even before security teams are sent on site.
If you wish to know more about the LBASense Situation Awareness for Large-Scale Evacuations solution, contact us.
Copyright © 2022 DFRC
43 Science Park Road #01-11 Rm 8, Singapore 117408