Driving Evaluation Based on Acceleration, Speed and Road Signs

New technologies are emerging in all fields of science. Being the case of Internet of Things (IoT), Artificial Intelligence (AI), these new technologies are affecting all fields of science, weather improving them or helping the end user into extracting new data, or analyzing data coming from these fields. One of the main focus area of IoT is on the Automotive side. The connected cars, self-driving cars, have been developed using the IoT concepts. New functionalities such as Semi-automatic selfdriving, finding of parking spaces, automatic self-parking vehicles, sending of data to servers via special services, all have been done with the help of IoT. The paper presents a new way of evaluating the car drivers based on data related to speed, acceleration, combined with the existing road signs. The end results will not only bring enhancement into the driving abilities, but also will bring great value to the maintenance of the vehicle and to the overall safety of the driving process. To obtain a better solution the system makes use of 3 algorithms for determining acceleration, breaking, speeding and lane changing behavior of the driver. By using IoT we aim to correct reckless driving, determine the causes of a defect, all based on statistical data collected over a period of time.