基于Agent的电动汽车扩散模型
Modelling Electrical Car Diffusion Based on Agents
摘要：
用创新的零排放汽车取代传统的化石燃料汽车是实现英国政府2020年减排目标的主要策略之一。我们正在开发一个基于代理的仿真模型，研究不同的政府干预措施对这种车辆的扩散可能产生的影响。我们的假设分析可以研究的选项包括停车费、电动汽车价格、能源意识和口碑。在本文中，我们提出了一个新的停车场收费计划在诺丁汉大学的引进有关的第一个案例研究。我们已经开发了一个基于代理的模型来模拟不同的停车率和其他激励措施对电动汽车的影响。本案例研究的目的是证明基于代理的建模和模拟这种调查的有用性。
英文摘要：
Replacing traditional fossil fuel vehicles with innovative zero-emission vehicles for the transport in ci ties is one of the major tactics to achieve the UK government 2020 target of cutting emission. We are developing an agent-based simulation model to study the possible impact of different governmental interventions on the diffusion of such vehicles. Options that could be studied with our what-if analysis to include things like car parking charges, price of electrical car, energy awareness and word of mouth. In this paper we present a first case study related to the introduction of a new car park charging scheme at the University of Nottingham. We have developed an agent based model to simulate theimpact of different car parking rates and other incentives on the uptake of electrical cars. The goal of this case study is to demonstrate the usefulness of agent-based modelling and simulation for such investigations.
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