The objective of this thesis is the impact analysis of gasoline price on traffic conditions in Athens. For this purpose, data concerning traffic conditions, gasoline prices and a wide variety of traffic shaping factors such as weather data was collected. In order to accomplish this thesis’ objective Linear Mixed Effects models with random effect intercept were deployed using as independent variables various metrics with explanative power about traffic volume’s fluctuations. During the application of the methods mentioned above three statistical models were constructed for separate databases, depending on the geographical position of the traffic flow measuring devices but with the same independent variables across all models. The rise of gasoline prices has a negative impact on traffic volume while the impact of other factors such weather conditions like temperature and rainfall are also substantial. Schools’ vacations, weekends and public holidays also have a decreasing impact in traffic conditions.
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