...
首页> 外文期刊>Advances in Science, Technology and Engineering Systems >Long-term Traffic Flow Forecasting Based on an Artificial Neural Network
【24h】

Long-term Traffic Flow Forecasting Based on an Artificial Neural Network

机译:基于人工神经网络的长期交通流量预测

获取原文
           

摘要

There is no doubt that a good knowledge of traffic demand has a direct impact on improving traffic management. Road traffic is strongly correlated with many factors such as day of week, time of day, season and holidays which make it suitable for prediction. In this paper, we develop a neural network model for hourly traffic prediction that makes full use of these temporal characteristics. The proposed algorithm is tested on a real-world case, and the experiment results is presented to evaluate its accuracy.
机译:毫无疑问,对流量需求的充分了解会直接影响改善流量管理。道路交通与许多因素密切相关,例如星期几,一天中的时间,季节和节假日,因此很适合预测。在本文中,我们开发了一种神经网络模型,用于小时交通预测,充分利用了这些时间特征。该算法在实际情况下进行了测试,并给出了实验结果以评估其准确性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号