Smart Cities Research
Cyber Security
With more and more of our devices now connected to the internet, our faculty researchers at MSU are working to ensure that our IoT networked devices are safe and secure from outside attacks.
- SecWIR: securing smart home IoT communications via Wi-Fi routers with embedded intelligence
- Access control with delegation for smart home applications
- Secure wireless monitoring and control systems for smart grid and smart home
- RELAX: a language to address uncertainty in self-adaptive systems requirement
- A Lightweight Block Validation Method for Resource-Constrained IoT Devices in Blockchain-Based Applications
- CapChain: A Privacy Preserving Access Control Framework Based on Blockchain for Pervasive Environments
Dynamic Buildings
MSU faculty are working on developing adaptive technologies to help consumers minimize power consumption to ease peak power demands.
- An assessment of opinions and perceptions of smart thermostats using aspect-based sentiment analysis of online reviews
- Occupant-Dependent Residential End Use Load Profiles for Demand Response Under High Renewable Energy Scenarios
- Safe Energy Savings Through Context-Aware Hot Water Demand Prediction
- Real-time Deep Neural Networks for internet-enabled arc-fault detection
- Activity Profiles of Occupants in Residential Buildings Using the American Time Use Survey Data
- Effective Features to Predict Residential Energy Consumption Using Machine Learning
Smart Utilities
Smart Home technologies allow consumers to create a tailored ecosystem designed around their comfort and convenience. MSU faculty are working on developing predictive technologies to help utilities meet power demands.
- Development and analysis of residential change-point models from smart meter data
- Thermal comfort evaluation for mechanically conditioned buildings using response surfaces in an uncertainty analysis framework
- City-scale energy modeling to assess impacts of extreme heat on electricity consumption and production using WRF-UCM modeling with bias correction
- Effect of technology-enabled time-of-use energy pricing on thermal comfort and energy use in mechanically-conditioned residential buildings in cooling dominated climates
- Effective Features to Predict Residential Energy Consumption Using Machine Learning
- Interaction effects of building technology and resident behavior on energy consumption in residential buildings
- Human factors of high performance multifamily housing
- Modeling urban energy dynamics under clustered urban heat island effect with local-weather extended distributed adjacency blocks
Smart Traffic
As the number of autonomous of semi-autonomous vehicles increase, tomorrow’s Smart Cities will need to reimagine traffic and roadway infrastructure. Faculty at MSU are working on solving tomorrow’s transportation problems.
- A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas
- Algorithms and Architectures A Case Study in When, Where and How to Connect Vehicles
- QA-Share Towards Efficient QoS-Aware Dispatching Approach for Urban Taxi-Sharing
- Sociomobility of the 21st century: Autonomous vehicles planning and the future city
- Disruptive Impacts of Automated Driving Systems on the Built Environment and Land Use: An Urban Planner’s Perspective
Smart Infrastructure
Technologies developed at MSU can be developed to remotely monitor city infrastructure and help ensure things like roads are bridges are safe.
- Energy and thermal performance evaluation of an automated snow and ice removal system at airports using numerical modeling and field measurements
- Energy-efficient design of a carbon fiber-based self-heating concrete pavement system through finite element analysis
- Optimum Properties and Distribution of Phase Change Materials for High-Performance Concrete Buildings
- An intelligent structural damage detection approach based on self-powered wireless sensor data
- A self-powered surface sensing approach for detection of bottom-up cracking in asphalt concrete pavements: Theoretical numerical modeling
- Continuous health monitoring of asphalt concrete pavements using surface-mounted battery-free wireless sensors
- Smart Cities and Innovative Urban Technologies
Green Buildings
Cities are exploring Green Building certifications to help ease the strain of peak demand on utilities while lowering their carbon footprint. Faculty at MSU are helping to develop the next generation of Green Building innovations.
- Comparison of green home energy performance between simulation and observation: A case of Virginia, United States
- An Empirical Study on the Energy Consumption in Residential Buildings after Adopting Green Building Standards(Conference Paper)
- Time effects of green buildings on energy use for low-income households: A longitudinal study in the United States
- Exploring the impact of green space health on runoff reduction using NDVI
- Predicting stream water quality under different urban development pattern scenarios with an interpretable machine learning approach
- The influence of small green space type and structure at the street level on urban heat island mitigation