Scroll through and explore these exciting next-generation application in various stages of development. All these applications use next-gen technologies like software-defined networking, local cloud and gigabit to end-user and are transforming how we live, work, learn and play. If you have an application you would like to include in this growing list, please following the instruction below and join the US Ignite community.
Hack the Commute is an initiative of the City of Seattle to engage the tech community in designing solutions to transportation problems.
Develop air quality sensing platform to determine spatial and temporal characteristics of urban air quality in diverse urban topologies.
Project Description: • Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis. • Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness. Major Requirements: • Determine applicable models best suited to local conditions • Beginning with tidal/surge modeling, conduct local verification of models vs. “ground truth” • Determine locations for additional sensors and types • Utilize the existing WiFi connectivity for sensors, and alerting systems • Recruit/train local personnel to take real-time readings to update the forecasting • Expand the program to neighboring jurisdictions, then regionally via A Long-Term Predictive Modeling Plan for local, regional, national, and global applications. Key Performance Indicators (KPIs): • Verify the accuracy of the VIMS TideWatch predictions with post-storm analysis • Verify the accuracy of the multi-flood type models with post-storm analysis with future goals are to improve prediction of flood depths and extents by 10% between stages 2 and 3; data was collected during Jan. 2016 winter storm event; not yet validated. Measurement Methods: • Statistical analysis of forecasts vs. time issued, actual flood area and depth. • Emergency response-time analytics during upcoming flood scenarios Project Impacts • Predicts the timing of flooding and flooded evacuation routes • Aids in rerouting emergency routes for public safety • Saves lives and reduces property damage • Identified future mitigation projects Replicability, Scalability, and Sustainability: • Expand the program and modeled areas to neighboring jurisdictions, then regionally via A Long-Term Predictive Modeling Plan for local, regional, national, and global applications. Partners: • Virginia Institute of Marine Science, College of William and Mary (VIMS) • Christopher Newport University • State of VA, Department of Health • Wetlands Watch To learn more about the StormSense Project, please visit: http://stormsense.com/
HARMONISE results will cover methods for a significant increment of resilience for urban infrastructures.
Firefighter geolocation and management is a remarkable lifesaving Smart City Cyber-Physical solution for Firefighters.
The social and economic impacts of human and natural disasters are huge. The project aims to integrate sensors, data, analytics, intelligence, and automation to present a common operational picture via the seismic and infrastructure monitoring (SIM) web portal. The SIM could help improve planning for and response to events, reduce losses due to disasters, and monitor remote locations with minimal cost implications. The SIM system incorporates sensor driven data measurement, comprehensive assimilation of data from multiple sources, crowd sourced data, artificial intelligence driven predictive analysis, live visualizations via a unified dashboard, and calibrated emergency response based on the situation. Data feeds are provided by USGS, NOAA, NDFD, NASA EOSDIS and others. Future plans include expansion of sensors to multiple locations, collaboration with additional local and federal governments, integration of additional data sources, and integration with existing emergency response systems.
This project showcases a deployable aerial base station and a situational awareness tool that work hand in hand to enhance the disaster recovery process during emergency scenarios. An aerial base station bridges the gap in communications caused due to natural and man-made disasters. A situational awareness tool and collaborative architecture (the Next Generation Incident Command System) provides the capability to exchange critical information among the stakeholders including citizens, first responders, and volunteers. This integrated system allows decision-makers to locate disaster victims and supply resources needed in real-time. The system demonstration used a broadband router airlifted by a balloon and/or a small unmanned aircraft system (sUAS). The long term goal of this project is to create the necessary infrastructure to integrate an Aerial Base Station with existing warning and communication networks used by emergency response agencies. This integration will enable citizen to citizen communication and citizen to first responder communication when there are power failures and cell towers are dysfunctional during disaster response.
The objectives of the demonstration are to showcase how virtualization technologies and intelligent edge devices (i.e., sensors, cameras, 2-way communication) can be integrated to improve response times, event management, and outcomes in an active shooter emergency event. A public safety active shooter response system was installed at a Middle School in Ammon, Idaho. Gunshot sensing equipment, IP cameras, and a PSAP monitoring station was connected to a single virtual network which activates automated system responses upon sensing gunfire. A simulated shooting event captured by the gunshot sensing equipment activated system responses, which included geographic location information, shot area imagery, and live IP video streams from system cameras. The system also provided real time event tracking and the ability to forward selected content to first responder mobile or handheld devices as part of dispatch, equipping First Responders with advanced surveillance tools and communications.
Use SmarterSockets to help map large buildings and identify the exact location of cell phone 911 callers within for emergency responders.
This team showcased its research related to the cyber security and resiliency of the power grid with a particular focus on the use of attack and defense tools and techniques demonstrating realistic cyber attacks and defenses. The electric power grid is a complex cyber physical system (CPS) that forms the lifeline of modern society. Cyber security and resiliency of the power grid is of paramount importance to national security and economic well-being. CPS security testbeds are enabling technologies that provide realistic experimental platforms for the validation and evaluation of security technologies, the exploration of innovative countermeasures, and the training of government and industry stakeholders and students within controlled environments. This GCTC project, building on the Smart America project, will demonstrate the federation of three cyber security testbeds (i.e., PowerCyber: CPS Security Testbed for Smart Grid, ISERink: Cyber Defense Competition platform, both from Iowa State University and the DETER cyber security testbed from USC/ISI) and cyber security training exercises, with credible and interesting use-case scenarios, for government and industry stakeholders and university students. The integrated testbed platform together with associated tools and training modules will fundamentally transform the cyber security preparedness and response training exercise from the current table-top attack-defense exercise, (called, GridEx conducted by NERC) to a more realistic testbed-based attack-defense exercise that will significantly help to secure the grid against cyber- attacks in the future.
Enhancing the experience of the 30 million person Hindu Kumbh Melah pilgrimage using proximity sensors for crowd management and more.
Description: The success of emergency response operations critically relies on the efficiency of emergency communication infrastructure. This project aims to mature and test the drone-carried on-demand broadband communication infrastructure for emergency use and quantify its benefit compared with existing on-demand emergency communication technologies. Challenges and Solutions Practical provision of on-demand drone-carried robust long-distance WiFi communication infrastructure Acceleration of technology transfer through close collaboration with Emergency Preparedness Departments in Texas Major Requirements: 1. Mature the prototype drone WiFi system to improve the robust long-distance drone-to-drone communication. 2. Plan emergency testing scenarios through close collaboration with first responders, coordinators and directors. 3. Deploy and test at multiple emergency exercises, including 1) full-city tornado exercise at the Denton City in May, 2) controlled wildfire exercise at the Denton County in June, and 3) multi-city disaster drill in the Dallas-Fort Worth area in November. 4. Quantitatively analyze the performance improvement for emergency communication using the drone-carried system. Performance Targets/ Key Performance Indicators (KPIs): The performance improvements include but not limit to the following: • Reduce the search-and-rescue time by 30% • Reduce the cost of search and monitoring by 50% Measurement Methods:. The performance impact is measured through multiple emergency exercises. Standards/Interoperability: The project provides case studies on quantifying the performance of a variety of on-demand emergency communication technologies. Replicability, Scalability, and Sustainability: The project involves testing in multiple emergency exercises at a variety of scales, and is expected to provide insights on the replicability, scalability, and sustainability of the drone-carried communication infrastructure being developed. Project Impacts: • Save lives: Reduced emergency response time, real-time information sharing; reduced risk; optimized resource planning • Job creation: public service experts; robot operators; drone operators; usability experts • New businesses: On-demand network service; multi-drone applications • Economic Growth: Service time reduction; safe air transportation; decrease in maintenance expenses Demonstration/Deployment Phases: Phase I Pilot/Demonstration June 2016: • Demonstration made with the Discovery Channel Canada on three emergency scenarios: rescue on flooding water, car accident, and wildfire • Demonstration with the Denton City Fire Department through participating in the full city tornado exercise in May 2016 Phase II Deployment June 2017: • Demonstration in the controlled wildfire exercise at the Denton County • Demonstration through participating in the multi-city disaster drill in the Dallas-Fort Worth area
Understanding the relationships between the human population and the infrastructure systems within a community is a major challenge during disasters. Today civil authorities lack the means to display the network of organizational and social relationships within their communities. These key pieces of situational awareness could inform planning, response, and recovery from disasters and civil emergencies. This project is developing a GIS-based Human Geography Mapping (HGM) system to model the social networks that comprise the civic infrastructure of a community. The goal is to provide government officials, emergency managers, and community leaders with the capability to map the human capital of the community and integrate that information into the existing GIS maps of terrain, built environment, transportation systems, and critical infrastructures. The HGM system will be developed using scalable open standards and be embedded within a Virtual Business Emergency Operations Center. This will support public and private sector collaboration, enhance trusted communications networks, and improve coordination and management of resources. The system will enhance emergency response by understanding relationships of vulnerable populations to local hazards, and via more effective planning for disaster response, flooding control, transportation management, evacuation routing, and ingress and egress of emergency vehicles.