Method for predicting traffic conditions for e.g. electric car, involves determining future information for traffic conditions of vehicle based on current state of vehicle and historical data

摘要

The method involves determining future information for traffic conditions of a vehicle (101) based on a current state of a vehicle and historical data (102) by a time window or a simulation process that is performed by a microscopic model or a macroscopic model, where the current state is selected from a group consisting of a position of the vehicle, speed of the vehicle, a road to be driven, a direction and/or an objective. The historical data is transferred to the vehicle over a mobile communication interface. An action is executed based on the traffic conditions. The historical data is selected from a group consisting of traffic density, average speed, speed curve, journey time, traffic light cycle, traffic volume and/or traffic condition. The future information is selected from a group consisting of information from different vehicle, information from a transport infrastructure component, information from a traffic control center, traffic information, information of a digital map, information of a driver assistance system, online data, position of a jam, a future velocity curve, a future acceleration curve, waiting time and queue length at a traffic system, speed strategy when approaching a traffic system and/or safe and efficient driving speed recommendation. The action is selected from a group consisting of an optical feedback, a haptic feedback, intervention into controlling of the vehicle, manufacturing a communication link and/or transmitting a message. An independent claim is also included for a device for predicting traffic conditions for a vehicle.