Zayed University students develop smart system to reduce traffic accident response time

Two students at Zayed University, Reem Ahmed Al Yafei and Asma Qosṭantini, have developed an innovative research project aimed at enhancing road safety in the UAE.

Under the supervision of Dr Mousa Al Kafiri, they created a smart system to accelerate emergency response to traffic accidents.

The project, named ResQ Alert, is an AI-powered platform which uses motion sensors, radar technology, and predictive analytics to automatically detect accidents.

It swiftly directs emergency teams to the scene while considering the capacity of nearby hospitals.

The students employed the “Waterfall” methodology in developing the system, starting from sensor data analysis and platform design to testing its effectiveness in various simulated environments.

The team hopes to pilot the project in high-accident-prone areas in collaboration with relevant authorities.

They are currently seeking strategic partnerships to support the system’s practical implementation within the UAE and potentially beyond.

This project serves as an inspiring model for harnessing student potential to address national challenges and advance smart response systems, aligning with the UAE’s vision for safer, more innovative cities.