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Road Transportation as complex adaptive systems: An exploratory conceptual framework to study road traffic patterns, accessibility, mobility, connectivity and congestion/emission

Road Transportation as complex adaptive systems: An exploratory conceptual framework to study road traffic patterns, accessibility, mobility, connectivity and congestion/emission
道路交通作为复杂的自适应系统:研究道路交通模式、可达性、流动性、连通性和拥堵/排放的探索性概念框架
批准号:
0085981
负责人:
Raj Kulkarni
金额:
$8.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-09-01 至 2002-08-31

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中文摘要
翻译
该奖项是在运输工业工程探索性研究(ETI)项目招标下获得的,我们建议将运输作为复杂适应系统(CAS)进行研究。我们的目的是对公路和道路运输系统的各个方面进行探索性的研究和分析。探索性研究的主题和分析它们的一些方法借鉴了许多学科。(1)基于算法熵(Kolmogorov熵)的明显随机的城市公路日常交通模式的隐藏顺序。(2)交通网络连通性的分形维数来源于河流网络和分形几何模型。(3)基于站点和键渗理论的可达性和流动性。(4)基于进化生物学NK模型的长期交通模式的出现。(5)拥塞是基于自旋玻璃理论的二阶相变,发射是基于神经网络建模的分布式智能体的集体结果。(6)基于自组织临界模型的可修改面积单元问题(MAUP)与城市活动/交通系统。我们相信,交通系统的跨学科研究和分析将提供对复杂性和交通领域的见解。希望这将反过来激发人们对发展新的交通流和运输模型的兴趣,这些模型解决了微观层面的相互作用如何引起宏观层面的行为和相变现象的问题。
英文摘要
This award is made under the Exploratory Research on Engineering the Transport Industries (ETI) program solicitation We propose to study transportation as complex adaptive systems (CAS). It is our intent to carry out exploratory research and analysis of various aspects of highway and road transportation systems. The topics for exploratory research and some of the methods used to analyze them are borrowed from many disciplines. They are as mentioned below: (1) The hidden order in apparently random daily urban highway traffic patterns based on algorithmic entropy (Kolmogorov entroy). (2) Connectivity of Transportation Network as a fractal dimension derived from river flow networks and fractal geometry models. (3) Accessibility and mobility based on site and bond percolation theory. (4) Emergence of long-term traffic patterns based on NK models of evolutionary biology. (5) Congestion as a second order phase change based on spin glass theory and emission as a collective outcome of distributed agents modeled after neural networks. (6) Modifiable Areal Unit Problem (MAUP) and urban activities/transport systems based on models of self-organized criticality.We believe that the interdisciplinary research and analysis of transportation systems will offer insights into Complexity and Transportation fields. It is hoped that this would in turn spur interest in development of new traffic flow and transportation models that address the issue of how micro level interactions give rise to macro level behavior and the phenomenon of phase change.
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