Desarrollo de un sistema de alerta temprana basado en una red de sensores inalámbricos para prevenir la siniestralidad vehicular en intersecciones.

Abstract

The present research aimed to develop an early warning system, based on wireless sensor networks to prevent car accidents rate at Intersections, following the top-down design methodology. This system is made up of two devices, the first one is the mobile node located inside the cars, thanks to which they can share their network address, position, and speed, data acquired by the NEO 7M module. The other device is the fixed node located at the intersection, which has the function to store the coordinates of this, as well as, receive/transmit and order data from the cars based on their speed and traffic route using the Quicksort algorithm. The wireless communication is implemented using the NRF24L01 module together with the library NRF24Network.h, responsible for establishing the protocol and the network layer. The operation of the system was evaluated through descriptive statistical analysis, in which it was determined that the maximum range of the wireless signal system is 170m at a transmission speed of 1Mbps, giving a response time of 1,017s, a variability of 11% in the calculation of distance, a maximum absolute error in the distance estimation of 4,24m, the star network topology allows to process information up to 4 mobile nodes with a fixed node. It is concluded that the system generates audiovisual alerts in the application cases considered, according to the comparison between the car separation distance with the intersection and the car stopping distance, allowing to anticipate and prevent a car accident. It is recommended that robust control algorithms be developed to eliminate the human factor in the decision-making at the time of a possible risk of car accidents.