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Real-Time Traffic Flow Management Based on Inter-Object Communication: a Case Study at Intersection

机译:基于对象间通信的实时交通流管理:以交叉口为例

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摘要

Intersections become very congested when traffic volumes are high, creating inefficiency that results in user delay and frustration. There have been many approaches which focus on optimization signal of Traffic Light System and Vehicle Trajectory Analysis to improve traffic flow at intersection. However, to implement those approaches into reality become a challenges since real-time problem. In this study, inspired by recent advanced vehicle technologies, we propose an approach for traffic flow management at intersection. In particular, with the exploding at an enormous rate of Internet of Things (IoT), the connected object has been the most visible and familiar application. By this way, based on connected object, we design a model which communicating among objects to improve traffic flow at intersection with real time problem. Moreover, traffic congestion is also taken into consideration in case of high traffic volume. The simulation shows the potential results comparing with the existing traffic management system.
机译:当流量很高时,交叉路口会变得非常拥挤,导致效率低下,从而导致用户延迟和沮丧。为了改善十字路口的交通流量,有许多方法着重于交通信号灯系统的优化信号和车辆轨迹分析。然而,由于实时问题,将这些方法实现为现实成为一个挑战。在这项研究中,受最新的先进车辆技术的启发,我们提出了一种在交叉路口进行交通流管理的方法。特别是,随着物联网(IoT)的爆炸式增长,连接的对象已成为最可见和最熟悉的应用程序。通过这种方式,我们基于连接的对象,设计了一个模型,该模型在对象之间进行通信以改善与实时问题相交的交通流量。此外,在高交通量的情况下,也要考虑交通拥堵。仿真显示了与现有交通管理系统相比的潜在结果。

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