Estimation of time-dependent intersection turning proportions for urban signal controls
Estimation of time-dependent intersection turning proportions for urban signal controls
复制标题
城市信号控制中与时间相关的交叉口转弯比例的估计
DOI：
10.1109/itst.2012.6425148
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Han
中科院分区：
文献类型：
--
作者：
Shou;Han
为了实现一个适当的自适应交通信号控制策略，关键的组成部分之一是可靠的估计交叉口转向比例。然而，在实践中，由于欠定问题，路段交通量不足以提供期望的交叉口处的转向比例估计，并且需要进一步考虑其他辅助数据源以提高估计精度。在交通流模型的基础上，提出了一种非线性最小二乘估计模型，将车辆检测器（VD）提供的路段流量信息和视频传感器提供的部分转向流量信息相结合，解决了转向比例估计问题。以仿真工具DYNASMART-P为测试平台，测试结果表明异构数据源优于单一数据源，该框架具有在线/离线自适应交通信号控制反馈的潜力。
To implement an adequate adaptive traffic signal control strategy, one of the critical components is the reliable estimates of intersection turning proportions. However, in practice link traffic counts are not sufficient to provide desirable turning proportion estimates at an intersection due to the underdetermined problem and it needs to further consider other auxiliary data sources to improve the estimation accuracy. Based on a traffic flow model, a nonlinear least squares estimate model is proposed to integrate link flow information from vehicle detectors (VDs) and partial turning flow information from video sensors to solve the turning proportion estimation problem. Using the simulation tool, DYNASMART-P, as a test platform, the test results indicate that heterogeneous data resources are better than single source, and this framework has potentials to feedback to an on/off-line adaptive traffic signal control.