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Traffic flow model for vehicular network

机译:车载网络的交通流模型

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摘要

Intelligent Traffic Management (ITM) system promises to reduce the traffic congestion, intelligent intersection management as well as the smart dissemination of the informatics to control the traffic flow. Development of any Intelligent Transportation System (ITS) applications requires realistic road traffic model to analysis the performance. Service rate or service time is one of the most important components of any vehicular traffic model to analyze its properties. Traffic flow model which is based on any existing queuing methods have different properties to analyze such delay, queuing length, saturation flow (for fixed cycle of signaling period) etc. Depending on the on road traffic capacity and the intensity of the vehicle the service rate will determine and also the mentioned properties. In this paper, the model involves the analysis of the traffic parameters of an intersection with MM1 queuing system to optimize the service rate that is needed to develop the long term evaluation (LTE) based intersection management system (IMS).
机译:智能交通管理(ITM)系统有望减少交通拥堵,智能路口管理以及信息的智能传播,以控制交通流量。任何智能运输系统(ITS)应用程序的开发都需要现实的道路交通模型来分析性能。服务费率或服务时间是任何车辆交通模型中分析其属性的最重要组成部分之一。基于任何现有排队方法的交通流模型具有不同的属性来分析此类延迟,排队长度,饱和流(对于信号周期的固定周期)等。取决于道路通行能力和车辆强度,服务率将确定以及上述属性。在本文中,该模型涉及使用MM1排队系统对交叉路口的交通参数进行分析,以优化开发基于长期评估(LTE)的交叉路口管理系统(IMS)所需的服务费率。

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