Research on application of fish swarm behaviour in intelligent transportation system

Intelligent transportation system (ITS) is a hot issue that makes many countries intensify efforts in research of the area, the solutions for some traffic problems, such as, congestion or traffic safety are improved by the ITS. Intelligent driving assistance system which is one important branch in ITS, is wildly used in modern vehicles, but these devices are only based on one single car. It is well known that fish school shows perfect swarm behavior which is widely considered as a typical example of self-organized grouping in which fish individuals perform a unified collective action. In this paper, the theory of fish school is applied to ITS. We use an improved artificial potential field to construct the model of fish group behavior, under some certain constraints. We propose a novel concept for multi vehicles travel coordinative control law inspired by fish group behavior, by which makes the cars motion with unified collective action and reinforce the ability of active safety and traffic capacity. In order to illustrate the validity of the strategy, the algorithm is applied in two typical traffic problems: the traffic bottleneck and the obstacle avoidance, and the simulation results show the validity and the feasibility of this idea.