ARTEMISA: Architecture of an eco-driving assistant based on the anticipation

Abstract

This paper presents the architecture of an ecodriving assistant. The assistant evaluates the fulfilment of classic eco-driving advices such as: maintain a constant speed, driving at high gear, slow down smoothly and so on. In addition, the assistant issues advices based on the anticipation. Anticipation is the key of eco-driving. The assistant is capable of detecting traffic signs beforehand and it checks if the speed is suitable for not having to slow down sharply. In addition, the system proposes an optimal average speed according to the conditions of the road. To model the environment where the vehicle is moving, we use an Android mobile device. These devices are ideal due to to their multiple network connections (Bluetooth, UTMS and WIFI) and sensors (camera, acceleration sensor, GPS and so on). To obtain the vehicle’s parameters (speed, fuel consumption, RPM, etc.), we use the diagnostic port (OBD2). The proposed system can improve fuel consumption and safety. In addition, it is independent of the type of vehicle.