• Conducted traffic data collection and analysis (vehicle speed, density, traffic volume, and geometric features) at accident-prone junctions to study overtaking patterns.
• Applied statistical methods and Python-based modeling to simulate overtaking maneuvers and identify high-risk scenarios.
• Designed and developed a sensor-based IoT prototype integrating ultrasonic and PIR sensors with Arduino to provide real-time hazard detection and driver alerts.
• Collaborated in a team of four to analyze crash patterns, propose infrastructure improvements and technological interventions, and recommend targeted safety measures.
• Strengthened skills in data analysis, IoT system design, teamwork, and problem-solving, with focus on practical applications in traffic safety and smart mobility solutions.