An Intelligent Road Traffic and Accident Advisory System

As commuters continue to make movements through road transportation daily, many lives are feared to be lost owing to poor road condition and lack of proper road maintenance. This has made road and safety specialist, think deeply on how to proffer a long and lasting solution to this menace using a modernized and smarter approach. This research proposes an intelligent advisory system against road accidents. It proffers trip advisory using some key parameters such as origin of movement, destination and time of day. The advisory results for a trip from Abia to Rivers State in Nigeria as seen in study, depicts key terms such as risks levels recorded as medium, score 0.42%, and common reasons for its advice such as bad road with 36 records and over speed with 65 records. Data visualization was used to properly show level of accidents by state and also accident by time of day while the conjestion level confusion matrix, fore tells when a particular desired road is conjested in other to take alternatve routes whilst showing true and predicted values as well. The diagnostic tools employed for the models’ performance evaluation are Accuracy 0.64%, Precision 0.65% and Recall 0.33% respectively. Summarily, this research has successfully developed an intelligent road advisory system which proffers trip advisory based on certain parameters as explained in other for a properly guided journey of commuters as they use the road daily to avoid reoccurring mishaps.