• Gregor A. Aramice Electrical Engineering Department, Mustansiriyah University, Baghdad, Iraq
  • Abbas H. Miry Electrical Engineering Department, Mustansiriyah University, Baghdad, Iraq
  • Tariq M. Salman Electrical Engineering Department, Mustansiriyah University, Baghdad, Iraq



Internet of vehicles, long-range modulation, traffic violation recording, vehicle black box, vehicular sensor network


The vehicle Black Box system records variations in vehicles in order to minimize and analyze accidents; or records traffic rules violations automatically and reports them to the traffic authority system. In many countries (like Iraq) traffic violation recording implemented manually causing false traffic fine recordings, even when the vehicle is not at the same location at traffic fine recording, so it is necessary to develop such systems that confirm the availability of the vehicle in that location during violation occurrence. In this paper, a Vehicle Black Box system based 433MHz long-range wireless modulation technology developed for safe driving issues by utilizing gas and flames sensors, and for false traffic violation recording issues by proofing the availability of the vehicle at traffic violation location by utilizing a GPS module. The system-based Internet of Vehicles model transmits the acquired data, where two nodes representing vehicles used with one base station form Vehicle-to-Infrastructure communication mode. The system was tested in real-time and the sensed data was transmitted and stored in a database for future analyzing purposes where the acquired GPS data was used as proof of the vehicle’s correct location with date and time stamps. Two vehicle data where captured and stored indicating their correct location with date and time stamps and stored in a database at the base station. The measured Received Signal Strength indicator and Signal-to-Noise ratio values are stored for analyzing purposes. The performance of the system in such Internet of Vehicle environment is discussed according to the readings.


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Submission Dates

Received 7/8/2022

Accepted 14/9/2022

Published 1/3/2023

How to Cite

A. Aramice, G., H. Miry, A. ., & M. Salman, T. . (2023). VEHICLE BLACK BOX IMPLEMENTATION FOR INTERNET OF VEHICLES BASED LONG RANGE TECHNOLOGY. Journal of Engineering and Sustainable Development, 27(2), 245–255.