Effect Analysis of Transport Policy for Reduction of Global Greenhouse Gas Emission with Multi-Agent Simulation System

为了构建可持续的环境交通系统，可以通过考虑不同出行主体之间复杂的社会互动来评价减少全球温室气体排放的交通政策。首先，分析了模式转换、私家车模式转换、车辆交易模式转换为清洁能源汽车的决策过程结构。其次，在考虑社会交互作用的基础上，建立了包括出行行为模型和交通流模型在内的多智能体仿真系统。第三，评估联运政策对减少温室气体排放的影响。

Transport policy for reduction of global greenhouse gas emission can be evaluated with considering the complicated social interaction between various trip makers for construction of the sustainable transportation system in environment. Firstly , the structure of decision making process for modal shift as well as from private vehicle to other mode as well as vehicle transaction to clean energy vehicle can be analyzed. Secondly, the multi-agent simulation system including travel behavior models and traffic flow model is developed with considering social interaction. Thirdly, the effect of combined transport policy for reduction of greenhouse gas emission can be estimated.