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Optimal detector location on arterial streets for advanced traveler information systems.

机译:先进的旅行者信息系统在动脉街道上的最佳探测器位置。

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This research uses computer simulation to investigate the effect of detector location on the ability of a system to monitor traffic characteristics (flow, speed, occupancy) and from them estimate link travel characteristics (link speed, travel time, intersection delay).; A three-mile section of roadway in the Phoenix metropolitan area (part of the AZTech ITS Model Deployment Initiative) is simulated using the program CORSIM. Four detector locations within each major link are analyzed. One detector location is downstream of a major intersection; the other three locations are upstream of a major intersection. Statistical techniques, in the form of regression analysis, are used to evaluate the various dependent and independent variables.; Results of the analysis indicate the link travel characteristics are unique to each link on the network. Of the variables examined, there is no one singular relationship that can be used to predict link travel characteristics. Further, there is no particular detector location that proved to be superior to all other detector locations.; Detectors located downstream of major intersections can use traffic flow to predict link travel time with reasonable accuracy. Detectors located upstream of major intersections can use spot speed or detector occupancy to predict link travel speed with reasonable accuracy.; Detection is not required in every lane. In all cases, link travel characteristics were still able to be determined with reasonable accuracy with detection in only one of the lanes.; The spacing of detectors can be critical to the operation of a system. The research showed that detector data obtained on one link could not accurately predict link travel characteristics on an adjacent link.
机译:这项研究使用计算机仿真来研究检测器位置对系统监控交通特征(流量,速度,占用率)的能力的影响,并据此估算链路的行进特性(链路速度,行进时间,交叉路口延迟)。使用CORSIM程序模拟了Phoenix大都市地区三英里的道路(属于AZTech ITS模型部署计划的一部分)。分析每个主要链路中的四个检测器位置。一个检测器位置位于主要交叉点的下游;其他三个位置在主要十字路口的上游。回归分析形式的统计技术用于评估各种因变量和自变量。分析结果表明,链路旅行特性对于网络上的每个链路都是唯一的。在检查的变量中,没有一种奇异的关系可用于预测链节的行进特性。此外,没有特定的检测器位置被证明优于所有其他检测器位置。位于主要交叉路口下游的检测器可以使用交通流以合理的精度预测链接的行驶时间。位于主要交叉路口上游的探测器可以利用点速度或探测器占用率来以合理的精度预测链路的行进速度。并非每个车道都需要检测。在所有情况下,通过仅在一条车道中进行检测,仍然能够以合理的准确度确定路段行驶特性。检测器的间距对于系统的运行至关重要。研究表明,在一个链路上获得的检测器数据无法准确预测相邻链路上的链路行进特性。

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