The algorithm to improve the accuracy of location data of the vehicle in the cloud

Increasing safety and environmental requirements of modern cities transport infrastructure rely on progress in the area of intelligent transportation systems and presume the widespread use of V2V and V2I communication to implement the user-oriented cloud services like persistent Internet access, traffic accidents information and routing capabilities. Because of the noticeable time delay in vehicles location data delivery to the cloud there is a problem in dynamic networks of the vehicles, which mean that vehicle's location data in the cloud are subject to accumulated error. The presented work describes the method to compensate the location error considering Intelligent Driver Model (IDM) model motion parameters, it also includes the results of experiments to determine and compensate the vehicle's location error in the cloud.