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CEE Smart Cities Research

CEE Smart Cities Research

Once just a buzz-word, the Smart City concept is now receiving significant attention from public authorities, private companies and academic institutions. Development of Smart Cities with a global market of over $1.5 trillion by 2020 will be one the most important challenges over the next few decades. It is expected that over 26 global cities become Smart Cities in 2025, with more than half of them located in Europe and North America. The Smart City research at Mizzou is focused on development of Smart Cities by establishing a robust research and educational platform. Our state-of-the-art laboratories focus on collaborative world-class research in the area of integration of Smart Infrastructure and Transportation with ICT and IoT.

Our next generation Smart Cities are heavily dependent on distributed smart sensing systems and devices to monitor the urban infrastructure. The smart sensor networks serve as autonomous intelligent nodes to measure a variety of physical or environmental parameters. In this context, one of the major tasks is to develop advanced frameworks for the interpretation of the huge amount of information provided by the emerging testing and monitoring systems. Arguably, Data Analytics technologies play a key role in tackling this challenge. This is a multidisciplinary area including several paradigms such as machine learning, deep learning, pattern recognition, statistics, intelligent databases, knowledge acquisition, data visualization, high performance computing, expert systems, etc. It embraces the fairly new concept of “Big Data Analytics” for the interpretation of Smart Cities massive data with an expected global market of USD 123.2 billion by 2025. The mission of our Data Mining team is to collect, integrate, and prepare time and space dependent (Big) Data produced by sensors, complex civil infrastructure systems and physical assets, followed by developing and testing analytical models to verify the accuracy of the results. The goal is to extract useful information from this data for long-term condition assessment of civil infrastructure systems.

graphic representation of big data with a cityscape

We host a unique, collaborative cohort of researchers dedicated to solving the most critical problems related to the Smart Cities. Examples of potential areas of Smart City research at the Mizzou’s CEE Department include:

  • Sustainable and Resilient Infrastructure Systems
  • Advanced Materials for Sustainable Infrastructure
  • Smart Structural Health Monitoring (SHM) Systems
  • Smart Energy Harvesting/Self-Powered Sensing
  • Intelligent Transportation Systems (ITS)
  • Big Data Analytics and Urban Computing
  • Civil Engineering System Informatics (data mining, data fusion, machine learning, deep learning, data management, visual analytics, cloud computing, and distributed computing systems for civil engineering)
  • Civil and Environmental Cyber Physical Systems (CPS)

Our outstanding research resources are essential in conducting the basic and applied research, field validation, and engagement with agency and industrial partners.

Smart Cities Research Partners

Our outstanding research resources are essential in conducting the basic and applied research, field validation, and engagement with agency and industrial partners.

Mizzou Asphalt Pavement and Innovation Laboratory (MAPIL)

  • The MAPIL has been developed and opened as part of the recent Lafferre Hall renovation project (C2217 Lafferre). This lab is equipped with state-of-the-art hardware and software equipment for advanced materials testing, especially soft, viscoelastic materials and particulate composites:
    • Servo-Hydraulic Universal Testing Machine (UTM)
    • Programmable Environmental Chambers for Frequency/Temperature Sweeps
    • Specializing in Creep, Dynamic Modulus, Fatigue and Fracture Testing, Test Standardization, Advanced Sensors, and Commercial Test Development
    • In-House, Full-Time Research Engineer on Staff – quick turn-around
    • Advanced Anton Paar Rhoemeters and Dynamic Mechanical Analysis
  • Examples of MAPIL’s general thrusts of interest within smart pavement materials are:
    • Smart Material Response
    • Energy Harvesting/Energy Storage
    • Damage Detection
    • Vehicle Guidance

MU Nondestructive Evaluation (NDE) Lab & Remote Test Facility (RTF)

  • The NDE lab and RTF are equipped with state-of-the-art NDE equipment for condition assessment of civil structures as follows:
  • Flexural and Static Fatigue Testing
  • 3 and 4-Point Bending Testing
  • Testing of Advanced Composites
  • 220-kip MTS Machine with Temperature Control Test Chamber
  • 110-kip MTS Machine

MU Transportation Lab (TransLab)

  • Various transportation hardware including traffic signal controllers, magnetic traffic sensors, video monitoring equipment, and driving and bicycle simulators, among other equipment

The Lewis High-Performance Computing (HPC) cluster

  • A shared cluster accessible to researchers and their collaborators at Mizzou

Civil Engineering Areas of Emphasis

  • Geotechnical
  • Geotechnical engineering deals with the facilities that make up our infrastructure in, on, or made with earth materials.
  • Structural
  • Structural engineers analyze and design structures to ensure that they safely perform their purpose.
  • Transportation
  • Transportation engineers develop facilities like highways, traffic signals, transit systems, airports and seaports.
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