提出一种引入信息决策因子的自治交通模型,对出行模式和出行道路的选择进行动态控制和优化,并通过NetLogo进行微观行为学仿真,验证了该模型能实现交通、能源和温室气体排放的优化效果,对解决现有交通问题具有实用价值.
A self-governing model is proposed,in which an information decision factor is introduced,the travel patterns and choice of the road trip are controlled and optimized dynamically.Micro-behavior simulation with NetLogo verifies that the model can realize the optimization among traffic,energy and greenhouse gases emission and some practical uses for solving the existing traffic problem.