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Development of a Low Power, Low Cost Rural Railway Intersection Smart Detection and Warning System

项目名称：	Development of a Low Power, Low Cost Rural Railway Intersection Smart Detection and Warning System
摘要：	In the U.S. there are 830 railroads comprised of more than 130,000 miles of track with more than 200,000 railroad crossings. Approximately 46% of these crossing points are passive, meaning they don’t have any active warning/control system or gates. Every year within the last decade, more than 400 rail-related fatalities occur, in which grade crossing accidents make up the majority. The lack of unsignalized intersections, active signage, and sustainable power at rural railway intersections (to warn vehicles to slow down before a train approaches) is the major cause of these crashes. The goal of this project is to develop and implement a novel low cost, low power rural railway intersection detection and warning system for monitoring railway traffic and increase motorist safety by activating warning signs to alert of danger ahead (i.e., when the train is approaching the intersection). The type of sensor that is proposed in the detection module is a multiple pixel passive infrared sensor due to the low cost, low power consumption, large field of view and ability to collect a wide range of data. The warning module will be responsible for alerting motorist that a train is approaching the intersection when a signal is received from the detection module. The warning module will be attached on the railroad crossing sign infrastructure. Both the detection and warning module will be powered by solar energy since the system will not have access to the power grid. The detection module will be designed to be an off-railway detection system that could be quickly and easily installed on pre-existing infrastructure with little to no specialized training.
状态：	Completed
资金：	66010
资助组织：	Office of the Assistant Secretary for Research and Technology
项目负责人：	Melson, Christopher
执行机构：	University of Texas at Arlington
开始时间：	20190815
预计完成日期：	20210215
主题领域：	Data and Information Technology；Energy；Highways；Operations and Traffic Management；Railroads；Safety and Human Factors