SGER - 3-D Sight Distance Computation

SGER - 3-D 视距计算

• 批准号: 0129096
• 负责人: David Lovell
• 金额: $ 5.76万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-01-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0129096&HistoricalAwards=false
• 关键词: SGER; Sight; Distance; Computation

ABSTRACTProposal 0129096David J. LovellUniversity of Maryland College ParkSGER - 3-D Sight Distance ComputationAugust 1, 2001The PI proposes exploratory research aimed at solving a perpetual transportation design problem - the automated and efficient measurement of available sight distance for three-dimensional highway alignments. This is an important problem in its own right because of the growing need to automate design feasibility test and evaluation for highways due to workforce reductions. Automation is thwarted by the computational complexity of the problems. If successful, research the results will be a more efficient algorithmic to the sight distance problem and improved highway design evaluation, selection and safety. This will have a significant impact on the transportation community, including universities, public and private agencies such as roadway construction and maintenance, traffic operations, safety. Additionally the mathematical framework required to solve the problem can support a number of other investigations, such as clear zone widths, passing lane demarcations, etc.

建议0129096David J.Lovell马里兰大学学院公园SGER-3-D视距计算2001年8月1日PI提出了旨在解决永久性交通设计问题的探索性研究--自动有效地测量三维公路路线的可用视距。这本身就是一个重要的问题，因为由于劳动力减少，对高速公路设计、可行性测试和评估的自动化需求日益增长。问题的计算复杂性阻碍了自动化。如果研究成功，研究结果将成为解决视距问题的一种更有效的算法，并改善公路设计的评价、选择和安全性。这将对交通界产生重大影响，包括大学、公共和私营机构，如道路建设和维护、交通运营、安全。此外，解决问题所需的数学框架可以支持其他一些调查，例如明确的区域宽度、通过车道的划分等。