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Research

OCC Smart Buildings

Our research on smart city building focuses on developing an intelligent, interconnected, and experimentally validated environment to investigate next-generation building automation, energy management, occupant comfort, resilience, and cyber-physical control. The OpenCyberCity smart building testbed integrates multi-floor residential models and hospital-scale building prototypes alongside distributed sensors, actuators, smart windows, elevators, HVAC controls, and real-time monitoring systems. These physical assets are interconnected through a unified communication and control framework, facilitating research on IoT-based sensing, machine learning, reinforcement learning, fault detection, predictive control, and coordinated energy management. The platform enables us to assess both centralized and distributed decision-making strategies under realistic operating conditions and supports research into system reliability, cybersecurity, and interactions with other smart-city infrastructures, such as transportation, microgrids, and autonomous systems.

OCC Smart 
Manufucturing System

Our research in smart manufacturing focuses on creating an intelligent, connected, and adaptive manufacturing environment to explore automation, process monitoring and control, and data-driven decision-making. The OpenCyberCity smart manufacturing system integrates physical process components, industrial sensors, actuators, programmable control elements, and real-time monitoring within a cohesive cyber-physical framework. This platform facilitates research on process optimization, predictive maintenance, fault detection, machine learning, reinforcement learning, and advanced control strategies to enhance efficiency, reliability, and operational safety. By merging real-time sensor data with intelligent control and analytics, the testbed enables evaluation of both centralized and distributed manufacturing approaches under realistic operating conditions and provides a versatile environment for investigating Industry 4.0 concepts, digital twins, resilient automation, and coordinated interactions with other smart city systems.

OCC Intelligent Transportation System (ITS)

Our research on smart autonomous vehicles focuses on developing connected, intelligent, and adaptive mobility systems for next-generation smart cities. The OpenCyberCity autonomous vehicle platform combines small-scale autonomous ground vehicles equipped with onboard sensing, perception, communication, and real-time control capabilities. This integration facilitates research in navigation, localization, path planning, obstacle avoidance, and coordinated vehicle behavior. The system operates through a unified cyber-physical and ROS2-based communication framework, enabling interaction with roadside infrastructure, traffic signals, smart buildings, and other autonomous agents within the testbed. This platform fosters research in machine learning, reinforcement learning, cooperative control, V2X communication, functional security, and resilient autonomous decision-making, all while providing a realistic environment to evaluate both centralized and distributed mobility strategies under dynamic urban conditions.

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OCC Smart 
Autonomous Drone System

Our research on smart autonomous drones focuses on developing intelligent aerial systems that can operate collaboratively in connected smart city environments. The OpenCyberCity drone platform integrates small-scale quadrotors equipped with onboard sensing, wireless communication, localization, navigation, and real-time control capabilities. This integration facilitates research into autonomous flight, path planning, obstacle avoidance, formation control, and multi-agent coordination. Using a unified ROS2-based cyber-physical framework, these drones can interact with ground vehicles, roadside infrastructure, smart buildings, and other autonomous agents within the testbed. This platform also supports investigations into machine learning, reinforcement learning, cooperative control, edge intelligence, resilient communication, and autonomous decision-making, while offering a flexible environment for evaluating both centralized and distributed aerial mobility strategies in dynamic urban scenarios.

OCC Intelligent Transportation System (ITS)

Our research on smart autonomous drones focuses on developing intelligent aerial systems that can operate collaboratively in connected smart city environments. The OpenCyberCity drone platform integrates small-scale quadrotors equipped with onboard sensing, wireless communication, localization, navigation, and real-time control capabilities. This integration facilitates research into autonomous flight, path planning, obstacle avoidance, formation control, and multi-agent coordination. Using a unified ROS2-based cyber-physical framework, these drones can interact with ground vehicles, roadside infrastructure, smart buildings, and other autonomous agents within the testbed. This platform also supports investigations into machine learning, reinforcement learning, cooperative control, edge intelligence, resilient communication, and autonomous decision-making, while offering a flexible environment for evaluating both centralized and distributed aerial mobility strategies in dynamic urban scenarios.

OCC Smart 
Street & Traffic Light System

The traffic and streetlight system is a vital component of OpenCyberCity, enabling exploration of how urban infrastructure can respond intelligently to changing mobility and environmental conditions. Instead of managing traffic signals and lighting in isolation, the testbed integrates them with roadside sensors, connected vehicles, and real-time control software to facilitate coordinated decision-making. This approach allows us to examine adaptive traffic-signal timing, congestion alleviation, vehicle and pedestrian awareness, and energy-efficient street lighting that responds to motion and environmental conditions. Additionally, it offers a practical setting for assessing reinforcement learning, distributed control, IoT communication, and fault-tolerant operations, all aimed at creating a safer, more efficient, and more responsive smart-city transportation infrastructure.

OCC Smart 
Elevator System

The smart elevator system in OpenCyberCity is designed to explore intelligent vertical transportation within a connected building environment. This platform integrates a physical elevator model with sensors, embedded controllers, user interfaces, and real-time monitoring to replicate essential functions, including floor selection, car movement, door operation, and system status tracking. It offers a hands-on environment for investigating scheduling and dispatch strategies, condition monitoring, fault detection, predictive maintenance, and energy-efficient operation. Additionally, as the elevator is part of a comprehensive smart-building framework, it serves as a valuable tool for examining how vertical transportation systems interact with occupancy patterns, emergency scenarios, building automation, and other cyber-physical services.

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