Aim: The aim of the study is to determine road accidents using support vector machine algorithms and logistic regression algorithms. Materials and Methods: Novel support vector machines compared to logistic regression algorithms are used to determine road accidents of time series. Sample size is determined using the G Power calculator and found to be 10 per group.Totally 20 samples are used. Pretest power is 80% with a CI of 95%. Results and Discussion: Based on analysis support, vector machine algorithms have significantly better accuracy (92%) compared to logistic regression algorithms (87.13%). The statistical significance difference value p=0.01 (p<0.05, Independent sample T-test) states that traffic flow and the results in study are significant. Conclusion: Within the limits of this study, the Support vector machine offers better accuracy than logistic regression algorithm to determine road accidents.