首页> 外国专利> Traffic condition prediction system and traffic condition prediction method

Traffic condition prediction system and traffic condition prediction method

机译:交通状况预测系统和流量状况预测方法

摘要

PROBLEM TO BE SOLVED: To provide a traffic condition prediction system capable of predicting a road traffic condition with high accuracy in the future even if the number of vehicle detection devices for measuring the number of passing vehicles is small. A traffic condition prediction system includes a traffic condition estimation unit, an inflow traffic volume prediction unit, a reference cumulative traffic volume prediction unit, a most downstream pseudo cumulative traffic volume prediction unit, and a traffic condition prediction unit. The traffic condition estimation unit estimates the traffic condition of the road. The inflow traffic forecasting unit predicts the inflow of vehicles flowing into the reference point. The standard cumulative traffic forecasting unit acquires the standard cumulative traffic forecast value at the most upstream reference point of the forecast target range for predicting road traffic volume based on the traffic condition estimation result and the vehicle inflow prediction result. To do. The most downstream pseudo cumulative traffic forecast unit predicts the most downstream pseudo cumulative traffic forecast value at the most downstream point of the prediction target range based on the standard cumulative traffic forecast value. The traffic condition prediction unit predicts the traffic condition of the road based on the standard cumulative traffic volume prediction value and the most downstream pseudo cumulative traffic volume prediction value. [Selection diagram] Fig. 2
机译:要解决的问题:提供一种交通状况预测系统,能够在未来高精度地预测道路交通条件,即使车辆检测装置的数量是用于测量乘车的数量小。交通状况预测系统包括交通条件估计单元,流量流量预测单元,参考累积业务量预测单元,最下游伪累积业务量预测单元和交通状况预测单元。交通条件估计单元估计道路的交通状况。流入流量预测单元预测流入参考点的车辆的流入。标准累积交通预测单元在预测目标范围的最上游参考点处获取标准累积交通预测值,以根据交通状况估计结果和车辆流入预测结果来预测道路交通量。去做。基于标准累积流量预测值,最下游的伪累积流量预测单元预测预测目标范围最下游点的最下游伪累积流量预测值。交通状况预测单元基于标准累积业务量预测值和最下游伪累积业量预测值预测道路的交通状况。 [选择图]图2

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

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