ENHANCING THE TRANSPORT SAFETY THROUGH DISDROMETER-BASED ENVIRONMENTAL SENSING

In this study is presented a system for real-time precipitation measurement integrating the laser disdrometer with adaptive control. The system manages large sensor data streams dynamically, enhancing robustness and accuracy under intense weather conditions. Meteorological inputs, combined with communication, enable scalable infrastructure supporting automated safety interventions. Experimental deployment showed improved data fidelity, anomaly detection, and detailed analysis of drop size and velocity distributions. The approach advances intelligent transportation safety and operational reliability through comprehensive environmental sensing and real-time adaptive data processing.