EFFECTIVE IMPLEMENTATION OF VEHICULAR ACCIDENT DETECTION AND PREVENTION USING MACHINE LEARNING TECHNIQUE

E.F. Nworabude, Onyia T.C., Obianyo O.R., Odo J.I. — Fri, 12 Sep 2025 00:00:00 +0000

This paper analyzes the use of rule-based integrated machine learning technique to model inter-vehicular accident prevention and control system. It has been noted that tricycle road movements are the major cause of road accident, even though they have dominated the means of transportation and logistics in many developing countries, especially in Nigeria. To solve this problem of road accident, data of tricycles were collected from the Anambra State Ministry of Transport, Awka; and then trained with machine learning algorithm to generate the accident detection model. The rule-based optimization was developed from the information collected from the Federal Road Safety Corp (FRSC) on the standard of inter vehicle distance and then used to develop the control model. The model was implemented with Simulink and evaluated. The result when tested and validated showed that the accident detection accuracy is 98.1%; Mean Square Error (MSE) is 3.0512e-10 and ROC is 0.9807. When compared with other models trained with similar data type, the result showed that the Feed Forward Neural Network (FFNN) developed was better and more accurate with a percentage improvement of 5.1%.

ANALYSES AND APPLICATION OF MICROCONTROLLER/LCD INTERFACE FOR REAL-TIME SYSTEMS

Obianyo O.R., Odo J.I., E.F. Nworabude, Onyia T.C. — Fri, 12 Sep 2025 00:00:00 +0000

This paper analyzes the way Liquid Crystal Display (LCD) is interfaced to a microcontroller for information display in real-time systems. To achieve this purpose, a background study of LCD and microcontroller was x-rayed. The LM016L type of LCD (an alphanumeric LCD) was used as a case study of the LCD for the analysis, while AT89C51 microcontroller was used as a case study of the microcontroller analyzed. It was seen that by programming a microcontroller adequately to execute LCD Command and Data write codes, information (alphabets and numbers) could be displayed on the LCD. The interface program was developed in Assembly language, and the output of the interface was displayed in a Proteus environment.

International Journal of Computing, Science and New Technologies (IJCSNT)

EFFECTIVE IMPLEMENTATION OF VEHICULAR ACCIDENT DETECTION AND PREVENTION USING MACHINE LEARNING TECHNIQUE

ANALYSES AND APPLICATION OF MICROCONTROLLER/LCD INTERFACE FOR REAL-TIME SYSTEMS