SGER - 3-D Sight Distance Computation

马里兰大学帕克学院(university of Maryland College ParkSGER) - 3-D视距计算PI提出探索性研究，旨在解决一个永恒的交通设计问题——三维公路线形的可用视距的自动有效测量。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自动化的需求越来越大。问题的计算复杂性阻碍了自动化。如果研究成功，将为视距问题提供一种更有效的算法，提高公路设计的评价、选择和安全性。这将对交通运输界，包括大学、公共和私人机构等道路建设和维护、交通运营、安全产生重大影响。此外，解决该问题所需的数学框架可以支持许多其他调查，例如清除区域宽度，通过车道划分等。

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.