Paper Title
Implementation of Vehicle Remote Sensing and Monitoring for Collision Avoidance on Blind Curves via nRF24L01+ Wireless Network

A system had been develop which aims to aid drivers while on transit by identifying potential collisions even without line-of-sight visibility before it actually happen specifically designed on blind curves implemented using nRF24L01+ wireless network. It consists of rover stations and base station. Rover stations would transmit and received active node lists, plate number information, latitude, longitude, speed and heading details to other rover and base stations. The base station was design to transmit only active node lists, its identification number, latitude and longitude but receives all the information from the rover station as it serves as a link to other rover stations. Actual distance, range, speed, time interval, static and dynamic feedback validation tests were performed to determine the prototypes performances. Based on the results, the calculated relative distance (1.27% error, P-value: 0.959) between rover stations were within admissible accuracy but speed (8.18% error, P-value: 0.700) and data reception time interval (3.22 seconds) needs further development however, errors on distance, speed and time interval have been very well compensated with the design for safety formula utilized plus the added safety effect on safe distance criteria (> 75 meters). Nonetheless, based from calculated P-values still the differences were statistically verified insignificant to standard measuring instruments used, and most importantly, the system is capable of identifying – visually and auditory other rover stations vital information as static and dynamic feedback validation tests outcomes positively. Keywords - Automatic Identification System, Collision Avoidance, nRF24L01+ Wireless Module, Microcontroller