Large-scale multi-agent transportation simulations

被引:48
|
作者
Cetin, N [1 ]
Nagel, K [1 ]
Raney, B [1 ]
Voellmy, A [1 ]
机构
[1] Swiss Fed Inst Technol, Dept Comp Sci, ETH Zentrum, Zurich, Switzerland
关键词
traffic simulation; transportation planning; queue model; TRANSIMS; parallel computing;
D O I
10.1016/S0010-4655(02)00353-3
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
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. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:559 / 564
页数:6
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