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Intelligent Highway Vehicle Traffic Flow Monitoring and Control System

机译:智能公路车辆交通流量监控系统

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In this paper multilayer perceptron (MLP) is used to help in monitoring and controlling of the vehicle traffic on the highway. The MLP achieve this by using the last 5 minutes data to predict the next S minutes traffic condition. Thereafter, the predicted traffic status is displayed on the highway for the motorists to read. The proposed model shows 100% accuracy. Implementation of this work will definitely decrease traffic congestion across main arteries of Johannesburg. Pollution normally experienced when cars idle for a long time during congestion will be reduced by free highway traffic flow. Frequent servicing of motor vehicles will no longer be required by the motorists. Furthermore the economy of Gauteng and South Africa as a whole will benefit due to increase in production. Consumers will also benefit in obtaining competitive prices from organizations that depends on haulage services.
机译:在本文中,Multilayer Perceptron(MLP)用于帮助监测和控制高速公路上的车辆交通。通过使用最后5分钟数据来预测下一个分钟的流量条件,MLP实现了这一点。此后,在驾驶者读取的高速公路上显示预测的交通状态。所提出的模型精度100%。这项工作的实施肯定会降低约翰内斯堡主动脉的交通拥堵。污染通常在拥堵期间闲置长时间闲置时经历的污染将减少自由公路交通流量。驾驶者不再需要频繁维修机动车。此外,由于生产的增加,豪登省和南非的经济将受益。消费者也将受益于获得取决于运输服务的组织的竞争性价格。

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