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

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What makes a City?

Infrastructure

Operations

People

Cities and Urban Areas

1913: 10% of world’s population lived in cities

2013: 50% and 2050: 70% of world’s population in cities

80% of Americans reside in Urban areas (2010 Census)

Urban areas and metropolitan regions account for 76% of all economic activity

and 85% of all scientific innovation.

Urban Development, Needs and Opportunities

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Integrating wide-ranging technological advances

Improving quality of life and economic vitality

Center of excellence for technologically, socially and organizationally balanced urban transformation

Improve quality of life for its citizens through technology, ultimately creating a sustainable

environment

Focus and Objectives

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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

FUTURe CITy Partners

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Our initiative is supported by the following with strong recommendation

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

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

Dr. Mohamed Abdel-Aty, PE

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The Built

Environment

real-time

streaming BIG

DATA

Understanding the City

Analytics

Insights

Sensors & Devices

Mobility Innovation

Visit us: http://www.cecs.ucf.edu/shasan

• Data-driven methods for

urban mobility &

congestion

• Real-time emergency

response

• Infrastructure resilience in

delivering critical urban

services

UCF Civil, Environmental, and Construction Engineering

Civil Infrastructure Technologies

for Resilience and Safety

(CITRS)

Kevin Mackie

Andrew Yun

Omer Tatari

Necati Catbas

Boo Nam

CITRS Group

Reliability and

probabilistic assessment

Sustainable and

green structures

Novel and nanotech-

based materials for

civil infrastructure

bridges, buildings, highway

structures, pavements, roads,

stadiums, convention centers,

airports, ports, dams, tunnel,

lifelines

Structural health monitoring and

identification with novel

sensing, analysis, and

predictive analysis approaches

Material-, component-,

and large-scale testing

Safe, resilient,

smart, sustainable

civil infrastructure

systems

Non-destructive

evaluation

Advanced modeling and

analysis, multiple hazard

assessment

Life-cycle

assessment and

life-cycle cost

NETWORK-LEVEL ROAD PAVEMENT CONDITION ASSESSMENT

USING DEEP LEARNING-BASED COMPUTER VISION TECHNIQUE

Dr. Hae-Bum “Andrew” Yun || Advanced Imaging, Monitoring & Sensing (AIMS) Lab || Hae-Bum.Yun@ucf.edu

FULLY AUTOMATED ANALYSIS FOR SAN ANTONIO ROAD

NETWORK BASED ON ASTM D 6433-11

Multi-purpose road

survey vehicle

equipped with LRIS,

right-of-way digital

cameras, laser

surface profiler,

GPS, DMI, and on-

board computer

GPU-BASED HIGH-PERFORMANCE COMPUTING

NVIDIA TITAN X was used to process a high-volume

image data at high speed (< 5 sec/ image)

(PASCAL architecture, 3584 CUDA cores, 12GB GDDR5X)

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.

UNDERGROUND SCANNING TECHNIQUE TO IDENTIFY MATERIAL

PROPERTIES FOR VERY HIGH-SPATIAL RESOLUTION USING 3D

GROUND PENETRATING RADAR

Dr. Hae-Bum “Andrew” Yun || Advanced Imaging, Monitoring & Sensing (AIMS) Lab || Hae-Bum.Yun@ucf.edu

RAW

PROCESSED

NOVEL DIELECTRIC CONSTANT IDENTIFICATION

ALGORITHM FOR VERY HIGH SPATIAL RESOLUTION

RETRACTABLE AIR-COUPLED 3D GPR CONTROLLING DECK

MULTI-PURPOSE ROAD INSPECTION VAN

3D GPR

HIGH-SPEED

ROAD SURFACE

IMAGING

DEVICE

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, PhD

• EcoHydraulics

• Hydrologic / Hydraulic Modeling

• Flood Risk Assessment

• Flow Prediction

Talea Mayo, PhD

• Numerical Model Development

• Uncertainty Quantification

• Risk Analysis

Steven Duranceau, PhD, PE

• Water Quality and Treatment

• Corrosion

• Direct Potable Reuse

• Disinfection Byproducts

Dingbao Wang, PhD

• Surface Water & Groundwater Modeling

• Water Resource Systems

• Contaminant Transport Modeling

Arvind Singh, PhD

• Sediment Transport

• Network Dynamics

• Geomorphology

A H M Anwar Sadmani, PhD

• Membrane-based & Hybrid Processes

• Emerging Pollutants of Concern

• Water Reuse Applications

• Alternate Sources

• Potable Water

Stephen Medeiros, PhD, PE

• Hydrology / Hydraulics

• Coastal Hydrodynamics

• Remote Sensing & Lidar

• Enginering / Industry / Business

• Sensors and Instrumentation

Thomas Wahl, PhD

• Sea level rise and storm surges

• Coastal flood and erosion risk

• Multi-hazards

• Extreme value analysis

WATER FIRST MULTIDISPLINARY TEAM

SMART Water and Wastewater Management Dr. Woo Hyoung Lee

In Situ Sensors for Water

Quality Monitoring

Renewable Energy

Production from Wastewater

Heavy metal sensor for drinking water and

groundwater quality monitoring

Point-of-use sensor for drinking water

Algal farming using

CO2 from power

plants

Harmful algal blooms (HAB) monitoring

sensors

Oil spill & chemical detection microsensor

Carbon sequestration

In situ heavy metal detection microsensor

Biomass production

SMART wastewater

treatment

Renewable energy production

(H2, biofuel, electricity)

No mechanical aeration

Algae farm using CO2 from Stanton Energy Center (Orlando, FL)

Nutrient (N & P) recovery

Microbial fuel cells (MFCs) for electricity generation from wastewater

Thank you

Dr. Mohamed Abdel-Aty, PE

m.aty@ucf.edu

http://www.cece.ucf.edu/future-city-initiative/

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