详情

原文传递 ITS APPLICATION FOR SEVERE WEATHER CONDITIONS.

题名：	ITS APPLICATION FOR SEVERE WEATHER CONDITIONS.
作者：	Harry-S; Dudek-CL (Editor)
关键词：	Ice-; Intelligent-transportation-systems; Interviews-; Literature-survey; Road-weather-information-systems; Sensors-; Snow-; Weather-conditions; Weather-forecasting
摘要：	Adverse weather and other harsh environmental features are common throughout the United States due to the country's vast size and diverse range of geographic characteristics. Severe winter weather, involving ice and snow occurs throughout the northern and central states and in mountainous areas of southern regions. The impacts of these conditions on highway users are considerable. Statistical analyses have shown that a disproportionate number of accidents and fatalities occur under adverse environmental conditions. It has been estimated that between 25 and 35% of all interurban accidents occur during adverse weather conditions. Due to the high frequency of accidents during severe weather conditions, and the increasing maintenance costs related to these conditions, several systems have been developed to predict severe weather conditions. The objectives of this research were to evaluate the current state of practice for dealing with severe weather conditions, make recommendations as to which sensors or weather prediction systems work best in different situations, and make recommendations on the implementation of a Road Weather Information System (RWIS) in the San Antonio, Texas area. To accomplish these objectives a literature review was conducted encompassing all Intelligent Transportation Systems (ITS) applications for severe weather conditions. Several phone calls and personal interviews were also conducted due to the lack of published material in the specific area of pavement sensors. From the findings it was recommended that the active pavement sensors be used in areas where high concentrations of salt are regularly present (greater than 4% concentration). In this situation the Climatronics FRENSOR sensor is recommended. In areas where typically low concentrations of salt are present, less than 4% concentration, it is recommended that passive pavement sensors be used. The Surface System, Inc. (SSI) passive pavement sensor is recommended under these conditions. The most commonly used RWIS in the United States seems to be the SSI system. In situations where this system is present in neighboring states or countries, it is recommended that this system be implemented for weather prediction purposes so that information can be shared across boundaries. It was also determined that San Antonio, Texas is a good candidate for implementation of an RWIS.
总页数：	1999/08. pp174-200 (2 Phot., 1 Fig., 1 Tab., 29 Ref.)
报告类型：	科技报告