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Development of Optimized Traffic Stream Models under Heterogeneous Traffic Conditions

机译:异构交通条件下优化交通流模型的开发

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Macroscopic traffic stream models provide relationships among the three basic trafficvariables namely speed, flow and density for steady-state conditions. A number of researchpapers are available proposing different traffic stream models under homogeneous trafficconditions. These models may not be directly suitable for the Indian traffic conditionwhich is heterogeneous and less lane disciplined in nature. Not much research has beenreported on this important aspect so far from India. The present study is an attempt todevelop an optimal traffic stream model suitable for the heterogeneous traffic flowcondition existing in India, taking Chennai as a case study. Several existing functionalforms were attempted, both single regime and multi regime, before reaching the best fittingtwo-regime speed-density relationship using a conventional optimization algorithm. Usingthis, the relationships between speed-flow and flow-density were theoretically derived. Theresults indicate that the proposed model is able to represent the steady-state macroscopicbehavior of the traffic stream with reasonable accuracy.
机译:宏观交通流模型提供了三种基本交通之间的关系 稳态条件下的变量,即速度,流量和密度。多项研究 提出了在同类交通下提出不同交通流模型的论文。 情况。这些型号可能不直接适合印度的交通状况 这是异类的,在自然界中受约束的路线较少。没有太多的研究 到目前为止,印度还没有报道这一重要方面。本研究是为了 开发适合于异构交通流的最佳交通流模型 印度的现状,以金奈为例。现有几个功能 在达到最佳拟合之前,尝试了单形式和多形式的形式 使用常规优化算法的两区域速度-密度关系。使用 从理论上推导了流速与流量密度之间的关系。这 结果表明,所提出的模型能够代表稳态宏观 交通流的行为具有合理的准确性。

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