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Evaluation of Portable Non-Intrusive Traffic Detection System

机译:便携式非侵入式交通检测系统的评估

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The goal of this study is to develop a safe, accurate, simple, and cost-effective method of collecting traffic data by using a Portable Non-Intrusive Traffic Detection System (PNITDS). The system developed for this project provides an alternative to conventional traffic data collection methods, such as inductive loops and road tube counters, by allowing agencies to collect data in high-traffic locations without compromising traffic flow or personnel safety. The selected design consists of a battery-powered, pole-mounted system that serves as a platform for mounting sidefired non-intrusive traffic sensors. Three sensors have been tested under different mounting configurations and traffic levels: the RTMS by EIS, the SAS-1 by SmarTek, and the SmartSensor by Wavetronix. The evaluation focuses on the assessment of traffic sensor performance and the pole-mounted system itself. Test results show that the system developed is practical for short term data collection because it can be quickly and safely deployed without interrupting traffic. The system is designed to attach to various existing roadside infrastructure, such as lighting poles and sign poles, providing flexibility in mounting locations. The sensors evaluated can accurately collect volume and speed data from up to eight lanes when optimally mounted and calibrated. Obtaining length-based classification data requires additional time to calibrate the sensor, but when correctly calibrated, the results provide a reasonable measure of the distribution of vehicle lengths within the traffic stream.
机译:这项研究的目的是通过使用便携式非侵入式交通检测系统(PNITDS),开发一种收集交通数据的安全,准确,简单且经济高效的方法。为该项目开发的系统通过允许代理机构在交通繁忙的地点收集数据而又不影响交通流量或人员安全的情况下,提供了一种替代常规交通数据收集方法(如感应环路和路管计数器)的方法。选定的设计包括一个由电池供电的杆式安装系统,该系统可作为安装侧射非侵入式交通传感器的平台。已对三种传感器在不同的安装配置和流量水平下进行了测试:EIS的RTMS,SmarTek的SAS-1和Wavetronix的SmartSensor。评估重点是对交通传感器性能和立杆式系统本身的评估。测试结果表明,开发的系统可用于短期数据收集,因为它可以快速安全地部署而不会中断流量。该系统旨在连接到各种现有的路边基础设施,例如灯杆和标志杆,从而在安装位置提供了灵活性。进行最佳安装和校准后,经过评估的传感器可以从多达8条通道中准确收集体积和速度数据。获取基于长度的分类数据需要额外的时间来校准传感器,但是如果正确地进行校准,则结果可以合理衡量交通流中车辆长度的分布。

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