Virtual Booth

The Intelligent Flood Detection and Road Management System is an Internet of Things (IoT)-based project developed to improve road safety and flood monitoring during heavy rainfall. Flooding can cause serious disruptions to transportation and threaten the safety of road users, especially in flood-prone areas. Traditional flood monitoring often relies on manual observation, which may delay warnings and emergency responses. Therefore, this project aims to develop an automated system that detects rising water levels, provides early warnings and manages road access during floods.
The system uses an ultrasonic sensor to measure the water level and an ESP32 microcontroller to process the sensor readings. Based on the detected water level, the system classifies road conditions into three stages: Green for Safe, Yellow for Warning and Red for Danger. During the danger stage, a servo motor automatically closes the road gate, a water pump is activated to help remove accumulated water, and a buzzer provides an audible warning. In addition, Telegram notifications are sent to inform users and relevant authorities about changing flood conditions. An OLED display presents real-time information about the water level, flood status and system connectivity.
This project demonstrates how sensor technology, automation and IoT communication can be integrated into a practical flood monitoring and road management solution. It supports Sustainable Development Goal (SDG) 11: Sustainable Cities and Communities by promoting safer roads and improving community resilience, as well as SDG 13: Climate Action by supporting technological responses to climate-related flooding. Overall, the prototype demonstrates the potential of an intelligent system to provide timely warnings, reduce human intervention and improve flood-related road safety.