Autonomic Road Transport Support Systems
Autonomic Road Transport Support Systems
复制标题
自主道路运输支持系统
DOI：
10.1007/978-3-319-25808-9_14
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Marmaras C
中科院分区：
文献类型：
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作者：
Marmaras C
电动汽车(EV)市场渗透率预计将在未来几年增加。交通电气化将影响道路运输和电力网络，因为电动汽车充电将受到道路网络上发生的事件(如拥堵、天气等)的影响。这对施加在电网上的潜在负荷产生影响(基于电动汽车充电的地点)。因此，电动汽车被视为运输和能源系统之间的纽带，它们之间的相互依存关系很重要。在本章中，电动汽车被建模为具有一组预定义的高级目标(例如从起点到目的地的旅行)的自主代理。给出了电动汽车路径选择和充电过程的算法。基于多个场景，进行了多智能体仿真，展示了交通和能源系统之间的相互作用，展示了电动汽车智能体如何能够根据这些系统中的每个系统的变化来调整其行为。
Electric vehicle (EV) market penetration is expected to increase in the next few years. Transport electrification will affect both the road transport and the electric power network, as EV charging will be influenced by events that take place on the road network (such as congestion, weather, etc.) which subsequently have an impact on the potential load imposed on an electricity grid (based on where EV charging takes place). An EV is therefore seen as a link between transport and energy systems, and their interdependencies are important. In this chapter an EV is modeled as an autonomous agent with a set of predefined high-level goals (such as traveling from origin to destination). Algorithms for the routing and charging procedures of EVs are presented. A multi-agent simulation is carried out, based on a number of scenarios, which demonstrates interactions between transport and energy systems, showing how an EV agent is able to adapt its behavior based on changes within each of these systems.