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首页> 外文会议>International conference on sustainable development of critical infrastructure 2014 >Operational Evaluation of Vehicle Detection Systems at Rural Signalized Intersections
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Operational Evaluation of Vehicle Detection Systems at Rural Signalized Intersections

机译：农村信号交叉口车辆检测系统的运行评估

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Approaches considered to improve safety at rural high speed signalized intersections most likely, will adversely affect the operational aspect of the intersection, and vice-versa. Vehicle Detection Systems and Advanced Warning Systems (AWS) have been used to end the green phase for the major road approaches in a safely manner and to warn drivers of an upcoming change of phase, respectively. If phase termination is by max-out, it will eliminate the expected safety benefit by ending the green phase without considering vehicles that may be traveling the dilemma zone. In order to address this concern, an intelligent detection control system (D-CS) was developed by Texas A&M University. The main feature of this system is to identify if trucks are located in the dilemma zone in order to extend the green beyond the maximum limit to allow them to safely cross the intersection. This research evaluates the D-CS and traditional vehicle detection systems in a Canadian environment. For this evaluation, operational and safety performance of both systems were determined and compared at high speed signalized intersections. This paper only presents results for the operational evaluation. Parameters considered for this evaluation include: control delay, percent of vehicles stopping on red, and percent of vehicles in the dilemma zone. For field data collection, video cameras were used to record actual data (traffic volume, signal timing, others) at two signalized intersections. Results indicated that the D-CS has a better operational performance than the traditional vehicle detection system.
机译：被认为提高农村高速信号交叉口安全性的方法极有可能对交叉口的操作性产生不利影响，反之亦然。车辆检测系统和高级警告系统（AWS）已被用于以安全的方式结束主要道路通行的绿色阶段，并分别警告驾驶员即将发生的阶段变化。如果阶段终止是通过最大程度的终止，它将通过终止绿色阶段而无需考虑可能在困境中行驶的车辆，从而消除预期的安全益处。为了解决这个问题，德州农工大学开发了智能检测控制系统（D-CS）。该系统的主要特征是识别卡车是否位于两难区域，以便将果岭延伸到最大限制以外，从而使他们能够安全地穿越交叉路口。这项研究评估了加拿大环境中的D-CS和传统车辆检测系统。为了进行评估，确定了两个系统的操作和安全性能，并在高速信号交叉口处进行了比较。本文仅介绍用于运营评估的结果。该评估考虑的参数包括：控制延迟，停在红色处的车辆百分比以及处于困境区域的车辆百分比。对于现场数据收集，使用摄像机记录了两个信号交叉口的实际数据（交通量，信号定时等）。结果表明，D-CS具有比传统车辆检测系统更好的操作性能。

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