A traffic jam is one of the most significant social issues of our time. Wasted time and fuel due to traffic congestion causes economic losses not to mention driver's stress. Various kinds of intelligent transportation systems (ITS) techniques have been developed to alleviate traffic jams. Recent research showed that vehicle-to-vehicle communication (V2V) can be used to reduce traffic jams. However, previous ITS-based approaches have not paid full attention to the fact that a traffic jam is a very complicated and dynamic phenomenon often resulting in the heterogeneous intensity of a traffic jam for each lane. In this paper, we propose a lane-level traffic jam control system providing varying driving advisory depending on dynamically measured intensity of a traffic jam per lane. Simulation results demonstrate that our approach has 9% smaller average delay compared with the state-of-the-art approach.