Lane-level traffic jam control using vehicle-to-vehicle communications

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.