Abstract
The increasing number of electronic control units, sensors, and actuators in intelligent vehicles, and the increasing need for more intelligent functions require a network with increased capacity and real-time capability. As an example of enhancing the capacity of a controller area network (CAN) system, this paper presents a CAN system with dual communication channels as well as a traffic prediction method that predicts the traffic of each channel to allocates frames to the more appropriate channel. An experimental testbed using off-the-shelf microcontrollers with two CAN controllers was used to prove the feasibility of the traffic prediction method.
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