Urban Intel Platform – Smart Response System for Emergency Services

As cities grow increasingly vulnerable to a wide array of emergencies and disasters, the need for intelligent and autonomous systems becomes ever more apparent in assisting emergency management operations. Existing methods of emergency management are characterized by, amongst others: untimely reports, insufficient situational data, unoptimal resource deployment and insufficient collaboration across agencies. To mitigate these shortcomings, we have designed and built Urban Intel, an intelligent emergency management system capable of consolidating citizen reports, automated classification, geospatial intel and real-time agency coordination. We provide an end to end framework for citizen reports with multimedia evidence and geolocation capabilities to improve data accuracy, speed of detection and accuracy of information.   Using AI, incidents are automatically classified to help with faster emergency decision-making. We enable rapid dissemination of information by incorporating intelligent routing of incident information based on real-time geolocal information to best equip and route agencies. Through communication facilities, information on ongoing emergency events are centralized for the relevant parties. Through experimental study, we show that the presented architecture effectively categorizes the incident types and is efficient to aid agencies by quickly disseminating relevant incident information in time for proactive agency allocation to respond to the incident. With Urban Intel and the cloud, we can provide an environment suitable for intelligent and timely responses in cities which are equipped with smart infrastructure.   The work in this paper contributes to creating an emergency management system by synergizing artificial intelligence, cloud computing and geo-spatial information that has great potential to assist in both existing and potential futures of intelligent, adaptive and resilient cities against various forms of disasters and emergencies.

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