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Special issue: Multi-Agent Systems applications in transport

机译：特刊：运输中的多智能体系统应用

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Transport systems have been one of the first areas where multi-agent systems (MAS) have been applied. The agent paradigm is well suited to reflect the autonomous behaviour of the entities that constitute a transport system, where decisions are made independent by the participants, but the consequences of those decisions have a big effect on the other participants. Agents can represent both the vehicles as well as the entities in the environment that collaborate for regulation of the traffic, such as traffic lights or road signals. Using agent systems thus enables the simulation of real world situations in a natural and realistic way showing the adaptive behaviour of traffic participants as well as the collective behaviour that emerges from their interactions. Using agent-based simulations of transport systems is especially useful to explore and analyse different algorithms and strategies for its organization and management. In this sense, agent-based simulations are a valuable tool for policy making because they can show in a realistic way all possible consequences of certain decisions. For example, what will happen when people will have to pay a toll during rush hours on the big highways leading to major towns. The agent-based simulations can also facilitate the actual transport management. For example, it can help deciding whether a truck should take a city route after rush hour or rather take a detour earlier on or whether traffic lights should favour public transport at all times. The simulation allows saving expenses on implementation of transportmanagement lutions by evaluating their impact before deployment. Finally, a MAS solution can be used, later on,as the basis for the implementation of the actual solution and be deployed to support the regulation of the transport system. Given all these benefits of agent-based systems for analysing and controlling transport systems, it is no surprise there is a lot of active research in this area.
机译：运输系统已成为最早应用多代理系统（MAS）的领域之一。代理范式非常适合反映构成运输系统的实体的自治行为，其中决策由参与者独立制定，但是这些决策的结果对其他参与者有很大影响。代理既可以代表车辆，也可以代表环境中的实体，它们共同协作以调节交通，例如交通信号灯或道路信号灯。因此，使用代理系统能够以自然和现实的方式模拟现实世界的情况，显示交通参与者的适应行为以及从他们的交互中出现的集体行为。使用基于代理的运输系统模拟对于探索和分析用于组织和管理的不同算法和策略特别有用。从这个意义上说，基于代理的模拟是制定政策的宝贵工具，因为它们可以真实地显示某些决策的所有可能后果。例如，当人们不得不在通向主要城镇的大高速公路上的高峰时段支付通行费时，将会发生什么。基于代理的模拟还可以促进实际的运输管理。例如，它可以帮助确定卡车是否应该在高峰时间之后走一条城市路线，还是更早走弯路，或者交通信号灯是否始终都有利于公共交通。通过在部署之前评估其影响，该模拟可以节省实施运输管理方案的费用。最后，MAS解决方案可以稍后用作实现实际解​​决方案的基础，并可以部署以支持运输系统的监管。由于基于代理的系统具有分析和控制运输系统的所有这些优点，因此在这一领域进行了大量积极的研究就不足为奇了。

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