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The feasibility of using an instrumented vehicle equipped with inertial navigation guidance system to collect roadway grade and cross-slope data for safety analysis.

机译:使用配备有惯性导航制导系统的仪表车辆来收集巷道坡度和横坡数据进行安全分析的可行性。

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摘要

In 2005, the Federal Highway Administration (FHWA) requested the development for the initial version of the Model Minimum Inventory of Roadway Elements (MIRE). MIRE is a roadway inventory and traffic data collection data program that has a strong focus on improving the decision process in safety programs. MIRE is not a mandatory state program, but is strongly recommended based on its potential advantages. Some of the data required for MIRE was previously collected as a result of the requirements set from the Highway Performance Monitoring System (HPMS).This thesis concentrates on the feasibility of determining as-built grade and cross-slope data using an instrumented vehicle equipped with GPS-aided MEM Inertial System by Crossbow, eliminating the need to manually extract data from design plans or use other methods. Instrumented vehicles should provide time savings in the data collection process and sufficient results, within the acceptable limits, for safety analysis. A calibration was performed on the Inertial Navigation Unit (INU) to test for any bias that may be present. Roadway data was collected by traveling multiple runs in each travel lane in both directions on the SCDOT Test Road and several road sections in Atlanta, GA. The included analysis tests the calibration of the INU by having a test road with high accurate as-built plans to test the grade, and survey data to test the cross-slope. The INU data was processed and compared to the obtained data to see what the absolute error was to determine if the results were acceptable for safety analysis.
机译:在2005年,联邦公路管理局(FHWA)要求开发道路元素最低清单标准模型(MIRE)的初始版本。 MIRE是道路清单和交通数据收集数据程序,其重点是改善安全程序中的决策过程。 MIRE不是强制性的州计划,但基于其潜在优势,强烈建议您这样做。根据公路性能监测系统(HPMS)的要求,以前收集了MIRE所需的一些数据。本文着重探讨了使用配备了自动驾驶系统的仪表车辆确定建成坡度和横坡数据的可行性。由Crossbow提供的GPS辅助MEM惯性系统,无需从设计计划中手动提取数据或使用其他方法。仪表车辆应在数据收集过程中节省时间,并在可接受的范围内为安全分析提供足够的结果。在惯性导航装置(INU)上进行了校准,以测试可能存在的任何偏差。道路数据是通过在SCDOT测试路和佐治亚州亚特兰大的多个路段的每个行驶车道上沿两个方向进行多次行驶来收集的。包含的分析通过拥有一条测试道路来测试INU的校准,该测试道路具有高度准确的竣工计划来测试坡度,并通过测量数据来测试横坡。处理了INU数据并将其与获得的数据进行比较,以查看绝对误差是什么,以确定结果是否可以接受以进行安全性分析。

著录项

  • 作者

    Rhoades, Cyle Joseph.;

  • 作者单位

    Clemson University.;

  • 授予单位 Clemson University.;
  • 学科 Engineering Civil.
  • 学位 M.S.
  • 年度 2010
  • 页码 139 p.
  • 总页数 139
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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