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Large-scale multi-agent transportation simulations

机译：大规模多主体运输模拟

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摘要

It is now possible to microsimulate the traffic of whole metropolitan areas with 10 million travelers or more, "micro" meaning that each traveler is resolved individually as a particle. In contrast to physics or chemistry, these particles have internal intelligence; for example, they know where they are going. This means that a transportation simulation project will have, besides the traffic microsimulation, modules which model this intelligent behavior. The most important modules are for route generation and for demand generation. Demand is generated by each individual in the simulation making a plan of activities such as sleeping, eating, working, shopping, etc. If activities are planned at different locations, they obviously generate demand for transportation. This however is not enough since those plans are influenced by congestion which initially is not known. This is solved via a relaxation method, which means iterating back and forth between the activities/routes generation and the traffic simulation.
机译：现在可以用1000万或更多的旅客来微观模拟整个大都市地区的交通，“微观”意味着每个旅客都被单独分解为一个粒子。与物理或化学相反，这些粒子具有内部智能。例如，他们知道要去哪里。这意味着交通模拟项目除了交通微观模拟外，还将具有对这种智能行为进行建模的模块。最重要的模块用于路由生成和需求生成。需求由模拟中的每个人生成，从而制定了活动计划，如睡眠，进餐，工作，购物等。如果在不同位置计划活动，则显然会产生运输需求。然而，这还不够，因为那些计划受最初未知的拥塞影响。这可以通过放松方法解决，这意味着在活动/路线生成和交通模拟之间来回迭代。

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