Skip to Main Content
Along with rapid economic growth, urban traffic has become a complicated worldwide issue, which synthesizes out-of-order jam, energy consumption and GHG emission. An autonomic traffic and energy model is proposed based on the micro behavior simulation, 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 gas emission and some practical use for solving the existing traffic problems.