LARGE-SCALE TRAFFIC SIMULATIONS FOR TRANSPORTATION PLANNING
LARGE-SCALE TRAFFIC SIMULATIONS FOR TRANSPORTATION PLANNING
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DOI：
10.1142/9789812813329_0006
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发表时间：
2000
期刊：
影响因子：
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通讯作者：
K. Nagel;J. Esser;M. Rickert
中科院分区：
文献类型：
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作者：
K. Nagel;J. Esser;M. Rickert
基于代理的方法来模拟交通规划应用提供了很多概念上的灵活性。需要代表数百万代理商和数十万交通基础设施要素。对于交通规划应用，需求需要对供给的变化敏感，这意味着除了交通系统的现实表示外，还需要表示导致需求的人们的决策过程。运输系统中的动态与需求生成期间关于它的假设之间的一致性是通过在需求生成和需求执行之间迭代来实现的，通常多达一百次。这提供了相当大的计算挑战。
An agent-based approach to simulation for transportation planning applications offers a lot of conceptual flexibility. Millions of agents plus hundreds of thousands of elements of transportation infrastructure need to be represented. For transportation planning applications, the demand needs to be sensitive to changes in supply, which implies that besides the realistic representation of the transportation system, it is also necessary to represent people's decision making process leading to the demand. Consistency between the dynamics in the transportation system and the assumptions about it during demand generation is achieved by iterating between demand generation and demand execution, often up to a hundred times. This provides a considerable computational challenge.