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Application of cell transmission model for heterogeneous and non-lane-disciplined traffic

机译:信元传输模型在异构无通道流量中的应用

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摘要

Traffic congestion continues to remain a major problem in most cities around the world, resulting in enormous delays, increased fuel consumption and a loss to the economy. Traffic flow modelling is an important part of transportation engineering and traffic management. A number of mathematical models have been developed for microscopic and macroscopic travel flow modelling to predict the behavior of traffic in planning, design and operation of the road traffic networks. Cell Transmission Model (CTM) is one of the most widely used macroscopic traffic flow models and now being used in various simulation and optimization packages. This research calibrates CTM for heterogeneous and non-lane disciplined traffic, as observed in Pakistan and some other developing countries by constructing a flow-density fundamental traffic flow diagram. Currently, most of the traffic simulation packages used for such heterogonous and non-lane-disciplined traffic are not calibrated for local traffic conditions and most of the traffic flow models are developed for comparatively less heterogeneous and lane-disciplined traffic. The flow-density fundamental traffic flow diagram is developed based on extensive field data collected from Karachi, Pakistan. The calibrated CTM model is validated by using actual data from another road and it was concluded that CTM is capable of modelling heterogamous and non-lane disciplined traffic and performed very reasonably. The calibrated CTM will be a useful input for application of traffic simulation and optimisation packages.
机译:在世界上大多数城市,交通拥堵仍然是一个主要问题,导致严重的延误,增加的燃油消耗和经济损失。交通流建模是交通工程和交通管理的重要组成部分。已经开发了许多数学模型用于微观和宏观旅行流程建模,以预测道路交通网络的规划,设计和运营中的交通行为。信元传输模型(CTM)是使用最广泛的宏观交通流模型之一,目前已用于各种仿真和优化程序包中。正如巴基斯坦和其他一些发展中国家所观察到的那样,本研究通过构建流量密度基本交通流图,对异类​​和非车道管制交通进行了CTM校准。当前,用于此类异类和非车道管制交通的大多数交通模拟软件包尚未针对本地交通状况进行校准,并且大多数交通流模型是针对异类性和车道管制相对较少的交通开发的。流量密度基本交通流程图是根据从巴基斯坦卡拉奇收集的大量现场数据开发的。通过使用来自另一条道路的实际数据验证了校准后的CTM模型,并得出结论,CTM能够建模杂合和非车道管制交通,并且表现非常合理。校准后的CTM将为交通模拟和优化程序包的应用提供有用的输入。

著录项

  • 来源
    《Traffic engineering & control》 |2017年第3期|56-59|共4页
  • 作者单位

    Department of Urban and Infrastructure Engineering, NED University of Engineering and Technology, Karachi, Pakistan;

    Osmani Consultants,Karachi, Pakistan;

    Dean Faculty of Civil Engineering & Architecture NED University of Engineering and Technology, Karachi, Pakistan;

    Think Transportation;

  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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