Cellular Automata vs. Object-Automata in Traffic Simulation

S. Behzadi, A. Alesheikh
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引用次数: 6

Abstract

Cellular Automata (CA) recently has been used in variety of fields related to continuous areas such as Geospatial Information System (GIS), traffic, air pollution, and so on. Having been used only in continuous raster-based area is the most weakness of CA, so defining the shape of the cellular and their adjacency for the study area is always a big challenge for researchers. Despite CA, agent-based modeling is complex and progressive type of intelligent object. Agentbased model is used in variety fields. Having efficiency such as moving makes it extremely distinctive from the concept of static intelligent entity. In this paper, at first, an intermediate type of object named Object-Automata (OA) was defined based on the simplicity of CA and complexity of agent which is suitable for both continues and discontinues area. Secondly, to asses and investigate the proposed OA, the simulation of traffic was implemented by OA and the model was compared with CA. As roads are defined as discrete entities, OA is much more suitable for such problem. At the end of this paper, the rules about the problem were
元胞自动机与交通仿真中的对象自动机
元胞自动机(CA)近年来在地理空间信息系统(GIS)、交通、空气污染等与连续领域相关的各种领域中得到了应用。CA算法的最大弱点是只能用于基于连续栅格的区域,因此确定研究区域的细胞形状及其邻接关系一直是研究人员面临的一大挑战。尽管存在CA,但基于agent的建模是一种复杂且渐进的智能对象类型。基于agent的模型应用于多个领域。具有移动等效率使其与静态智能实体的概念极为不同。本文首先基于CA的简单性和agent的复杂性,定义了一种既适用于连续区域又适用于间断区域的中间类型对象——对象自动机(OA)。其次,为了对所提出的OA进行评估和研究,利用OA对交通进行仿真,并与CA模型进行比较。由于道路被定义为离散实体,OA更适合于这类问题。在本文的最后,给出了该问题的规则
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