摘要
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.
出处
《控制与决策》
EI
CSCD
北大核心
2010年第1期64-68,共5页
Control and Decision
基金
国家自然科学基金项目(60774046)
