摘要
分析了快速路互通立交主线总交通量、交织流量比和主线外侧第二车道大型车比例等3种因素对合流区端部主线最外侧车道交通量的影响,得出上述3种因素与合流区端部主线最外侧车道交通量具有非线性关系。在实际调查数据的基础上,采用广义神经网络对合流区主线最外侧车道的交通量进行了预测,并与实际调查数据对比,对比结果证明预测效果良好。
The paper analyzed the influence of the total traffic volume of main-lane and the ratio of weaving traffic volume to total traffic volume and the heavy vehicle proportion of No.2 lane on the traffic volume of merging area outmost lane in the urban expressway interchange.It concludes that the three factors above have no-linear relations with the traffic volume of the merging area outmost lane.Then,the traffic volume of outmost lane in the merge area was forecast based on field data by the model of generalized regression neutral network.The forecasting results match perfectly with the actual data.
出处
《交通信息与安全》
2009年第S1期12-15,共4页
Journal of Transport Information and Safety
基金
国家科技支撑计划项目(批准号:2006BAJ18B03)资助
关键词
交通工程
预测广义神经网络
交通量
traffic engineering
forecast generalized regression neural network
traffic volume
