详情

Traffic Safety Improvements at Low Water Crossings

项目名称：	Traffic Safety Improvements at Low Water Crossings
摘要：	According to the National Weather Service (NWS), there were 38 flood deaths in Texas in 2016. Studies suggest that of all flood victims, between 60 and 75 percent are motorists that became victim of road flooding. Texas consistently leads the nation in flood deaths and the majority of those deaths are in vehicles. Many accidents, rescues, and deaths occur at low water crossings, and most occur at night. While it may be impractical to raise or remove all low water crossings across the state, there are low-cost means to better alert the driving public to the risks of low water crossings. Installing permanent signs or gates can be costly and difficult to maintain. Placing temporary signs and barricades requires significant field crew effort and they cannot be everywhere at once. Research is needed to indicate whether there can be improved driver awareness, thus improved driver safety, by installing reflective pavement markings, striping, or sensors as effective warning devices at low water crossings. The objectives of this research project are: [1] Investigate each TxDOT Area Office's current inventory and management approach of low water crossings. [2] Survey other state DOTs, AASHTO, FHWA, and other agencies on low water crossing management techniques. [3.] Determine which reflective pavement markings and striping can show the most contrast when submerged/not submerged in water. [4.] Evaluate flood sensor and flood warning devices for roadways, and assess their cost/benefit in both high- and low-volume traffic settings. [5.] Test Infrastructure-to-Infrastructure (I2I) and Infrastructure-to-Vehicle (I2V) technologies. [6.] Conduct developmental testing to verify the accuracy of the water level sensors and the functionality of the developed and applied technologies.
状态：	Active
资金：	$445069
资助组织：	Texas Department of Transportation
项目负责人：	Glancy, Chris
执行机构：	Texas A&M Transportation Institute, College Station
主要研究人员：	Dobrovolny, Chiara S
开始时间：	20180901
预计完成日期：	20200831
实际结束时间：	0