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Infowares new electronic horizon app prevents road casualties

Wrong-way drivers, construction sites and traffic jams – these factors are among the main causes of accidents on the motorway. With infoware’s expertise in the field of the Electronic Horizon, potential hazards such as these can be predicted and minimised.

The app published by infoware today, MapTrip Road Companion, shows how this works - available now in the Google PlayStore.

With MapTrip Road Companion, infoware demonstrates its competence in the field of the Electronic Horizon: the app analyses the area surrounding the vehicle and, on account of traffic data, which is updated in real time, can provide information on high-risk road developments at an early stage.

To this end, the vehicle's position and speed are transmitted to the MapTrip server via the app. This information is then combined with highly accurate ADAS-class road maps (Advanced Driver Assistance System) and current traffic data from TomTom or INRIX. This produces an Electronic Horizon, that is, a prediction of the car's future route based on calculated probability - also referred to as the Most Probable Path (MPP).

The MPP serves as the basis for MapTrip Road Companion to detect specific hazards on the route, such as dangerous corners, wrong-way drivers, sudden traffic jams, construction sites, ascents and descents, before they even come into range. The driver is then made aware of future road developments by means of corresponding warnings delivered via the app and can adjust his driving behaviour accordingly. Further information such as ascents and descents, but also speed cameras, fuel stations and supermarkets along the route demonstrate the potential of the. Thus accident potential is reduced and safety increased.

With MapTrip Road Companion, infoware demonstrates its competence as an expert in the field of navigation and autonomous driving

At the same time, infoware's Electronic Horizon is a basic requirement for autonomous driving within the automotive industry. In order to produce self-driving cars, predictive driver assistance systems, which on the one hand have detailed road knowledge in the form of digital maps and, on the other hand, prepare vehicles for pending situations, for example by automatically adjusting the speed, optimising the braking performance or adjusting the headlight beam to suit the course of the road.

Thus, rather than trusting exclusively in cameras and sensors that are integrated into the vehicle, in future digital networking with cloud-based information will become of increasing important in vehicles. This is the only way to predict relevant traffic developments and to develop automatic warning systems that ensure enhanced safety on the road.

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