Traffic Control System Utilizing Prove Vehicle Position Data

利用证明车辆位置数据的交通控制系统

基本信息

批准号：
15560452
负责人：
NAKATSUJI Takashi
金额：
$ 1.79万
依托单位：
HOKKAIDO UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2005
项目状态：
已结题

项目摘要

1)Development of a Feedback Estimate of Traffic States Combining Probe Vehicle Date with Detector DataIntegration of probe vehicle data into conventional detector data made it possible to estimate of traffic density, space mean speed, and travel time on real time basis more accurately. In the estimation model, A Kalman filter, adopting a high-order macroscopic traffic flow model as state equation and both detector data and probe data as observation equation, was used as a feedback estimate technique. The model was effective for extensive traffic situations from free flow states to congested flow states, including incident states due to sudden change in traffic flow. From numerical experiments, it was identified that at least 4 to - 5% of market penetration and 10 to 30 second of sampling interval are required to estimate traffic states accurately.2)Estimate of O-D Flow and Turning Movements from Traffic Count DataIn order to estimate turning movements at intersections, a logit based st … More ochastic user equilibrium (SUE) model was integrated into a genetic algorithm (GA). Three derivative models were developed : 1) a doubly constrained estimator, 2) a singly constrained estimator, and 3) an OD-based estimator. In the first and second estimators, the SUE model was formulated as a joint trip distribution and traffic assignment (TD/TA) program, whereas in the third estimator, the SUE model was based on a standard origin-destination (OD) distribution program. At first, these turning movement estimators (TME) models were examined by applying them to various road networks, covering a virtual road network with simulated data to a large city-size network in real field. It was concluded that except a small road network, the doubly constrained model showed the best performance in terms of the estimation of link volume and turning ratios.3)Transformation between Uninterrupted and Interrupted Speed for Urban Road ApplicationsUnlike freeway, urban traffic stream is generally interrupted by signal, and thus observed traffic data may differ from the true (uninterrupted) flow characteristic. The transformation between interrupted and uninterrupted speed on urban road with signalized intersection is necessary before using detector data. Conventional shock wave model and two modified versions of shock wave boundary that address for the unrealistic characteristics of the conventional shock wave are developed. A method of integrating probes and detector data for speed transformation is also discussed. The proposed methods are tested with a virtual isolated signalized intersection by varying the approach demand. The numerical results suggest that all models can significantly reduce the difference between the actual and the estimated uninterrupted (or interrupted) speed compared to the case of no conversion. Less

1）开发交通状态的反馈估计，将探测器日期与检测器数据结合到常规检测器数据中，使得可以更准确地实时估算交通密度，空间平均速度和旅行时间。在估计模型中，使用高阶宏观交通流模型作为状态方程以及检测器数据和探针数据作为观察方程，用作反馈估计技术。该模型对于从自由流州到拥挤流量状态的广泛的交通状况有效，包括由于交通流量突然变化而导致的事件状态。 From numerical experiments, it was identified that at least 4 to - 5% of market penetration and 10 to 30 second of sampling intervals are required to estimate traffic states accurately.2)Estimate of O-D Flow and Turning Movements from Traffic Count DataIn order to Estimate turning movements at intersections, a logit based st … More ochastic user equilibrium (SUE) model was integrated into a genetic algorithm (GA).开发了三个导数模型：1）双重约束估计量，2）单一受约束的估计量和3）基于OD的估计量。在第一个和第二个估计器中，SUE模型是作为联合旅行分配和交通分配（TD/TA）程序提出的，而在第三个估计器中，SUE模型基于标准的原始用途（OD）分配程序。首先，通过将它们应用于各种道路网络，涵盖了一个具有模拟数据的虚拟路线网络来检查这些转弯运动估计量（TME）模型，并将其应用于真实领域的大型城市大小网络。得出的结论是，除了一个小的道路网络外，双重约束模型在链接量和转弯比的估计方面表现出最佳性能。3）在Urban Road应用程序Unlike Freeway的不间断速度和中断速度之间的转换，城市交通流由信号中断，因此观察到的交通数据可能与真实的（未突出的）流量特征不同。在使用探测器数据之前，必须使用信号交叉路口的城市道路上的中断和不间断速度之间的转换。传统的冲击波模型和两个修改版本的冲击波边界，该版本针对常规冲击波的不切实际特征。还讨论了一种集成项目和检测器数据以进行速度转换的方法。通过改变方法需求，通过虚拟隔离信号交叉点对所提出的方法进行测试。数值结果表明，与无转化率相比，所有模型都可以显着降低实际和估计的不间断（或中断）速度之间的差异。较少的