Development of a multi-purpose traffic monitoring system to improve traffic safety on rural highways in Canada

检察官信号有限公司（AUG）的动物检测和警报系统的基础上周边监视雷达一直非常有效地减少碰撞的数量涉及动物在农村公路段（416号公路）在安大略。该系统检测动物的存在和移动，并实时警告道路使用者。拟议的研究将验证现有雷达系统在24/7基础上收集的大量现场数据。由于现有的数据包括车辆通过监测区域时每秒钟的位置，因此研究将探讨是否可能纳入新的技术功能来进行执法（速度执法）。所收集的现场数据可用于：1）对车辆进行计数（例如，每日和每小时交通量）; 2）对车辆进行分类（客车汽车、重型车辆等）;（3）量度个别车辆的速度。为了以列出的方式使用数据，特别是执法部门，AUG和公路管理机构需要科学证据证明24/7数据是可靠的，并且这项工作在技术上是可行的。约克大学与AUG合作的拟议研究旨在提供必要的科学验证，并独立确认该系统是一种创新的多用途交通监控系统。该系统根据个别车辆的路段速度自动执法，将对道路安全作出额外的重大贡献。该研究成果有望帮助一家加拿大制造公司发展壮大，并成为多用途实时监控传感技术的国内和国际领导者，该技术可以显着减少涉及动物的碰撞次数和涉及超速的碰撞次数。

The A.U.G. Signals Ltd. (AUG) animal detection and warning system based on perimeter surveillance radar has been very effective in reducing the number of collisions involving animals on a rural highway section (Highway 416) in Ontario. The system detects th presence and movement of animals and warns roadway users on a real-time basis. The proposed research will validate the vast amount of field data collected by the existing radar system on a 24/7 basis. As the data available include the position of individual vehicles second by second as the vehicles pass through the monitored area, the study will investigate the possibility of incorporating a new technical function to conduct law enforcement (speed enforcement). The collected field data can be used to: 1) count vehicles (e.g., daily and hourly traffic volume); 2) classify vehicles (passenger cars, heavy vehicles, etc.); and 3) measure the speed of individual vehicles. To use the data in the ways listed, and especially for law enforcement, AUG and highway governing agencies require scientific evidence that the 24/7 data are sound and that the undertaking is technically feasible. The proposed study by York University working with AUG aims to provide the necessary scientific validation and independently confirm the system as an innovative multi-purpose traffic monitoring system. The system's automatic law enforcement based on individual vehicles' section speed would make an additional and significant contribution to road safety. The research outcomes are expected to help a Canadian manufacturing company to grow and to become a national and international leader in multi-purpose real-time surveillance sensing technology that can significantly reduce both the number of collisions involving animals and the number of collisions involving speeding on rural highways where the system is installed.