论文部分内容阅读
随着高速公路网的不断完善,信息发布手段的增多,特别是道路可变情报板的不断增多,公众期望能获取更为及时有效的出行信息,但现有发布模式存在难以选择设备、编辑信息慢、进行个性化批量发布困难等问题。针对以上问题,提出路网环境下的信息自动发布模型,对模型关键内容包括筛选信息、快速选择设备、生成输出信息文件及对文件校验等方面进行了论述。通过对历史事件信息的模拟输入,对比模型生成结果与人工录入结果,证明模型具备可行性。同时,结合大数据挖掘等发展趋势,对模型优化提出了改进建议。
With the continuous improvement of the expressway network and the increase of means of information dissemination, especially with the increasing number of road changing information boards, the public hopes to obtain more timely and effective travel information. However, the existing distribution modes have difficulty in selecting equipment and editing information Slow, personalized bulk publishing issues such as difficulties. In view of the above problems, this paper puts forward an automatic information release model in road network environment, and discusses the key contents of the model including screening information, quick selection of equipment, generating output information files and verifying files. Through the simulation input of historical event information, comparing the results of model generation and manual entry, it proves that the model is feasible. At the same time, combined with the development trend of big data mining, some suggestions for improving the model are put forward.