FUTURe CITy Fostering Smart Urban Transformation and Ubiquitous Resilience with Connected Infrastructure and Technology Dr. Mohamed Abdel-Aty, PE Trustee Chair Pegasus Professor and Dept Chair Civil, Environmental and Construction Engineering
FUTURe CITy Cities and Urban Areas What makes a City? 1913: 10% of world’s population lived in cities Infrastructure 2013: 50% and 2050: 70% of world’s population in cities Operations 80% of Americans reside in Urban areas (2010 Census) People Urban areas and metropolitan regions account for 76% of all economic activity and 85% of all scientific innovation. 2
Urban Development, Needs and Opportunities Improve quality of life for its citizens through technology, ultimately creating a sustainable environment Integrating wide-ranging technological advances Improving quality of life and economic vitality Center of excellence for technologically, socially and organizationally balanced 3 urban transformation
Focus and Objectives What makes a Future City? Smart Infrastructure Urban Operations People – Public Policy and Financing (1) To build expertise in deployment of sensing, communication and data transfer network for the interconnected smart city infrastructure (2) To employ expertise for advanced urban computing data analytics, information technology networks for smart city operations (3) To develop proficiency in coordinating between technology development and policy formulation, social programs and their implementation 4
FUTURe CITy Partners Our initiative is supported by the following with strong recommendation 5
Connecting the East Orlando Communities Overview of the Advanced Transportation and Congestion Management Technologies Deployment (ATCMTD) Project
Collaborative Effort District Five
Latest and Greatest Roadside Technology
Latest and Greatest Smart Cities Technology Transit Kiosk Connected Vehicle Technology Safety and Mobility Applications Autonomous Vehicles Solar Energy Real-Time Multimodal Data Bus Automated Vehicle Location Parking Availability Travel Times Ride Share Availability Transit Demand
SmartCommunity Leveraging Aspects of Smart Cities Developing Mobility on Demand (MoD) framework Trying to pave way for Mobility as a Service (MaaS)
Research Evaluation and Value Addition Big data analytics and IOT Connected and Autonomous Vehicles Public Acceptance Smart City Simulation and Visualization Develop an autonomous vehicle for garage parking management. Clean data from a person with multiple devices. Develop algorithms for assigning the number of vehicles on routes and route choice.
Benefits for Local Agencies New forward compatible standard for signal deployment, transit kiosks Demonstration of benefits Coordinated decision making Latest technology deployed across the region Enhancement mobility and safety for travelling public
Benefits for UCF Students Applications for Smart Phone Parking, drive time vs Shuttle comparison in real- time More efficient transit service, connections controlled Automated vehicle connecting Stadium and Recreation Center Connection ready for connected vehicles
Transferable Components New Standard in Signal Technology Modular Software Route and Mode Choice Engine Can be used connect LYNX, Votran, Sunrail, Uber, LYFT, ZipCar, and Juice OBU software Can be integrated into existing Apps to get CV benefits or made standalone
Big Data Applications, Safety, Simulation, Traffic Management Dr. Mohamed Abdel-Aty, PE ITS Traffic Detection System Strength of ITS High Deployment Density Real-time Monitoring Congestion Time duration Congestion area Congestion intensity Safety Crash precursors Crash’s effects
Sensors & Devices The Built Environment • Data-driven methods for urban mobility & congestion Mobility • Real-time emergency Innovation response • Infrastructure resilience in delivering critical urban real-time services Insights streaming BIG Analytics DATA Understanding the City Visit us: http://www.cecs.ucf.edu/shasan 18
Civil Infrastructure Technologies for Resilience and Safety (CITRS) Structural health monitoring and Material-, component-, identification with novel and large-scale testing Necati Catbas sensing, analysis, and predictive analysis approaches CITRS Group Safe, resilient, Novel and nanotech- Kevin Mackie smart, sustainable based materials for Non-destructive civil infrastructure civil infrastructure evaluation systems bridges, buildings, highway Andrew Yun structures, pavements, roads, stadiums, convention centers, airports, ports, dams, tunnel, Life-cycle Sustainable and lifelines assessment and green structures life-cycle cost Boo Nam Advanced modeling and analysis, multiple hazard assessment Reliability and Omer Tatari UCF Civil, Environmental, and Construction Engineering probabilistic assessment
NETWORK-LEVEL ROAD PAVEMENT CONDITION ASSESSMENT USING DEEP LEARNING-BASED COMPUTER VISION TECHNIQUE GPU-BASED HIGH-PERFORMANCE COMPUTING Multi-purpose road NVIDIA TITAN X was used to process a high-volume survey vehicle image data at high speed (< 5 sec/ image) equipped with LRIS, (PASCAL architecture, 3584 CUDA cores, 12GB GDDR5X) right-of-way digital cameras, laser FULLY AUTOMATED ANALYSIS FOR SAN ANTONIO ROAD surface profiler, NETWORK BASED ON ASTM D 6433-11 GPS, DMI, and on- board computer MULTI-SCALE CONVOLUTIONAL NEURAL NETWORK (CNN) is a Deep Learning algorithm developed to deal with various scale issues to detect 13 different road surface objects, such as crack, patch, manhole, marking, pothole, etc. Dr. Hae- Bum “Andrew” Yun || Advanced Imaging, Monitoring & Sensing (AIMS) Lab || Hae-Bum.Yun@ucf.edu
UNDERGROUND SCANNING TECHNIQUE TO IDENTIFY MATERIAL PROPERTIES FOR VERY HIGH-SPATIAL RESOLUTION USING 3D GROUND PENETRATING RADAR NOVEL DIELECTRIC CONSTANT IDENTIFICATION ALGORITHM FOR VERY HIGH SPATIAL RESOLUTION RAW HIGH-SPEED ROAD SURFACE IMAGING DEVICE 3D GPR PROCESSED MULTI-PURPOSE ROAD INSPECTION VAN RETRACTABLE AIR-COUPLED 3D GPR CONTROLLING DECK Dr. Hae- Bum “Andrew” Yun || Advanced Imaging, Monitoring & Sensing (AIMS) Lab || Hae-Bum.Yun@ucf.edu
Smart urban air quality surveillance and air pollution exposure management Connected, heterogeneous sensor network Multi-pollutants, multi-platform, address specific community needs Near real-time, secured data dissemination system Smart phone app for travel and exercise planning Community-engaged and stakeholder-involved
Kelly Kibler, Talea Mayo, Steven Dingbao Wang, Arvind Singh, A H M Anwar Stephen Thomas Wahl, PhD PhD Duranceau, PhD PhD Sadmani, PhD Medeiros, PhD, PhD PhD, PE PE • EcoHydraulics • Numerical Model • Surface Water & • Sediment • Membrane-based • Sea level rise and • Hydrologic / Development Groundwater Transport & Hybrid storm surges • Water Quality and • Hydrology / • Uncertainty Modeling • Network Processes • Coastal flood and Hydraulic Treatment Hydraulics • Water Resource • Emerging Modeling Quantification Dynamics erosion risk • Corrosion • Coastal • Flood Risk • Risk Analysis Systems • Geomorphology Pollutants of • Multi-hazards • Direct Potable Hydrodynamics Concern • Contaminant Assessment • Extreme value • Remote Sensing Reuse • Water Reuse • Flow Prediction Transport analysis • Disinfection & Lidar Modeling Applications • Enginering / Byproducts • Alternate Industry / Sources Business • Potable Water • Sensors and Instrumentation WATER FIRST MULTIDISPLINARY TEAM
SMART Water and Wastewater Management Dr. Woo Hyoung Lee Renewable Energy In Situ Sensors for Water Production from Wastewater Quality Monitoring Heavy metal sensor for drinking water and Carbon sequestration Algal farming using groundwater quality monitoring CO 2 from power Biomass production plants Point-of-use sensor for drinking water Harmful algal blooms (HAB) monitoring Renewable energy production sensors (H 2 , biofuel, electricity) SMART wastewater Oil spill & chemical detection microsensor treatment No mechanical aeration Nutrient (N & P) recovery Algae farm using CO 2 from Stanton Energy Center (Orlando, FL) In situ heavy metal detection Microbial fuel cells (MFCs) for microsensor electricity generation from wastewater
Thank you Dr. Mohamed Abdel-Aty, PE m.aty@ucf.edu http://www.cece.ucf.edu/future-city-initiative/ 25
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