Vehicle Black Box Monitoring based ThingSpeak with Long Range Technology

Automatic traffic violation fine recording systems play important role to decrease traffic rules violation and accidents, the traffic fine recorded according to traffic violation type and violation location. Manual traffic fine recording may cause false fine recordings. Systems developed to guarantee driver rights of such false traffic fines. Vehicle Black Box systems developed for recording variations in vehicles in order to minimize or analyze accidents. Other systems record traffic rules violations automatically and report them to traffic authority system. In this paper, a Vehicle Black Box developed for, safe driving and false traffic fine recordings issues with proofing the availability of a vehicle at traffic violation location with date and time stamps; the system based on Internet of Vehicles model with the utilization of Long Range wireless technology to transmit a vehicle acquired data to a base station. Vehicle-to-Infrastructure communication mode designed. Acquired data sent to an Internet of Things platform (ThingSpeak) to be stored, visualized and analyzed. Real time test done; Received Signal Strength Indicator value measured indicating the performance of LoRa signal propagation at 433MHz modulation in such environment. A correct location obtained and monitored on the ThingSpeak platform. We found that there is no any interference between two vehicles when getting the information from them, where each vehicle has its own code and send its data separately from the other.