An autonomic traffic model based on micro behavior information decision

Urban traffic has become a worldwide problem with the economy developing rapidly, which synthesizes out-of-order jam, energy consumption and GHG emission. An autonomic model is proposed based on the micro behavior simulation of urban traffic, in which an information decision factor is introduced. Thus the travel patterns and choice of the road trip have been controlled and optimized dynamically. Simulation with NetLogo verifies that the model can realize the optimization among traffic, energy and greenhouse gases emission and some practical use for solving the existing traffic problems.