Design a physical Smart City prototype that enhances urban quality of life using sensor data processing, autonomous decision-making and renewable energy management principles.
Competitors are tasked with designing a physical "Smart City" prototype that enhances urban quality of life using sensor data processing, autonomous decision-making and renewable energy management principles.
This category tests the autonomous integration of software algorithms with physical urban infrastructure (traffic lights, grid energy, lighting, etc.).
A sensor-based system (IR or camera-based) that dynamically adjusts red/green light durations according to vehicle density.
A system that stores energy during the day (solar panel/wind turbine) and autonomously activates smart street lights (ambient light and motion sensitive) at night.
IoT-based smart waste bin systems that measure fill level and send data to a central interface/display.
A system that turns all traffic lights red and opens the emergency lane when an ambulance or fire truck (identified by RFID or sensor) approaches.
Open-source microcontrollers such as Arduino, Raspberry Pi, ESP32 or micro:bit must be used for system management. The use of ready-made, non-programmable commercial toy sets is strictly prohibited.
The competition consists of real-time scenario tests performed before the VIP jury panel and referees.
Referees inspect wiring quality, sensor placements, soldering and microcontroller connections for aesthetics and safety.
The team spokesperson explains the logic of their autonomous algorithm, data processing workflows and urban efficiency strategies to the VIP jury members in technical language.
Real-time scenario tests are applied.
Referees manually place a large number of model vehicles at intersections. The time it takes for the system to detect this congestion and autonomously resolve traffic is measured.
Ambient lights are suddenly turned off. The city is expected to autonomously switch to battery power, activate street lights and open an automatic green wave for an Emergency Vehicle entering the field.
Evaluation is based on a total of 100 points.
Accurate detection of vehicle density at intersections, optimization of waiting times and instant reaction to emergency vehicles.
Seamless transition from renewable energy to battery power, lights operating only when needed (darkness and motion) to achieve energy savings.
Cable clutter concealment (aesthetics), structural quality and modular/readable code architecture.
Applicability of presented solutions to real-world engineering projects and the team's professional answers to technical questions.
External intervention to the system by hand, manual computer commands, or external remote control (breaking autonomy) after the simulation starts results in a penalty per violation.
-15 PointsIf traffic lights freeze or the autonomous system completely stops due to a software error, the score for the related test stage is reset to zero.
Test Score ZeroBringing closed-box (plug-and-play) commercial smart city kits not developed by the team directly to the competition is an immediate cause for disqualification.
DisqualifiedTake your place on the Atlantia STEM Olympiad stage with your urban autonomy and energy management vision.